Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 1e6285c53d |
@@ -5,9 +5,7 @@
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# Dependencies
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node_modules
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**/node_modules
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.venv
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**/.venv
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# CI/CD
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.github
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@@ -13,7 +13,7 @@ concurrency:
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cancel-in-progress: true
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jobs:
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nix-lockfile-check:
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check:
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runs-on: ubuntu-latest
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timeout-minutes: 20
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steps:
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@@ -36,12 +36,6 @@ jobs:
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LINK_SHA: ${{ steps.sha.outputs.full }}
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run: nix run .#fix-lockfiles -- --check
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- name: Fail if check crashed without reporting
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if: steps.check.outputs.stale != 'true' && steps.check.outputs.stale != 'false'
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run: |
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echo "::error::fix-lockfiles exited without reporting stale status — likely an infrastructure or script failure"
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exit 1
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- name: Post sticky PR comment (stale)
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if: steps.check.outputs.stale == 'true' && github.event_name == 'pull_request'
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uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
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@@ -1,13 +1,6 @@
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name: Nix Lockfile Fix
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on:
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push:
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branches: [main]
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paths:
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- 'ui-tui/package-lock.json'
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- 'ui-tui/package.json'
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- 'web/package-lock.json'
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- 'web/package.json'
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workflow_dispatch:
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inputs:
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pr_number:
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@@ -26,103 +19,9 @@ concurrency:
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cancel-in-progress: false
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jobs:
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# ── Auto-fix on main ───────────────────────────────────────────────
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# Fires when a push to main touches package.json or package-lock.json
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# in ui-tui/ or web/. Runs fix-lockfiles --apply and pushes the hash
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# update commit directly to main so Nix builds never stay broken.
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#
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# Safety invariants:
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# 1. The fix commit only touches nix/*.nix files, which are NOT in
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# the paths filter above, so this cannot re-trigger itself.
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# 2. An explicit file-whitelist check before commit aborts if
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# fix-lockfiles ever modifies unexpected files.
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# 3. Job-level concurrency with cancel-in-progress: true ensures
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# back-to-back pushes collapse to the newest; ref: main checkout
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# always operates on the latest branch state.
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# 4. Uses a GitHub App token (not GITHUB_TOKEN) so the fix commit
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# triggers downstream nix.yml verification.
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auto-fix-main:
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if: github.event_name == 'push'
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runs-on: ubuntu-latest
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timeout-minutes: 25
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concurrency:
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group: auto-fix-main
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cancel-in-progress: true
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steps:
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- name: Generate GitHub App token
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id: app-token
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uses: actions/create-github-app-token@7bfa3a4717ef143a604ee0a99d859b8886a96d00 # v1.9.3
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with:
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app-id: ${{ secrets.APP_ID }}
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private-key: ${{ secrets.APP_PRIVATE_KEY }}
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- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
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with:
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ref: main
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token: ${{ steps.app-token.outputs.token }}
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- uses: ./.github/actions/nix-setup
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- name: Apply lockfile hashes
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id: apply
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run: nix run .#fix-lockfiles -- --apply
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- name: Commit & push
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if: steps.apply.outputs.changed == 'true'
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shell: bash
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run: |
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set -euo pipefail
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# Ensure only nix files were modified — prevents accidental
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# self-triggering if fix-lockfiles ever touches package files.
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unexpected="$(git diff --name-only | grep -Ev '^nix/(tui|web)\.nix$' || true)"
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if [ -n "$unexpected" ]; then
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echo "::error::Unexpected modified files: $unexpected"
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exit 1
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fi
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# Record the base SHA before committing — used to detect package
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# file changes if we need to rebase after a non-fast-forward push.
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BASE_SHA="$(git rev-parse HEAD)"
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git config user.name 'github-actions[bot]'
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git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
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git add nix/tui.nix nix/web.nix
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git commit -m "fix(nix): auto-refresh npm lockfile hashes" \
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-m "Source: $GITHUB_SHA" \
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-m "Run: $GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
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# Retry push with rebase in case main advanced with an unrelated
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# commit during the nix build. Without this, a non-fast-forward
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# rejection silently loses the fix. If package files changed during
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# the rebase, abort — a fresh auto-fix run will handle the new state.
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for attempt in 1 2 3; do
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if git push origin HEAD:main; then
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exit 0
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fi
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echo "::warning::Push attempt $attempt failed (non-fast-forward?), rebasing…"
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git fetch origin main
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# If package files changed between our base and the new main,
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# our computed hashes are stale. Abort and let the next triggered
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# run recompute from the correct package-lock state.
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pkg_changed="$(git diff --name-only "$BASE_SHA"..origin/main -- \
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'ui-tui/package-lock.json' 'ui-tui/package.json' \
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'web/package-lock.json' 'web/package.json' || true)"
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if [ -n "$pkg_changed" ]; then
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echo "::warning::Package files changed since hash computation — aborting; a fresh run will recompute"
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exit 0
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fi
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git rebase origin/main
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done
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echo "::error::Failed to push after 3 rebase attempts"
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exit 1
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# ── PR fix (manual / checkbox) ─────────────────────────────────────
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# Existing behavior: run on manual dispatch OR when a task-list
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# checkbox in the sticky lockfile-check comment flips from [ ] to [x].
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fix:
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# Run on manual dispatch OR when a task-list checkbox in the sticky
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# lockfile-check comment flips from `[ ]` to `[x]`.
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if: |
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github.event_name == 'workflow_dispatch' ||
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(github.event_name == 'issue_comment'
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+4
-1
@@ -52,6 +52,10 @@ ignored/
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.worktrees/
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environments/benchmarks/evals/
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# Compression eval run outputs (harness lives in scripts/compression_eval/)
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scripts/compression_eval/results/*
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!scripts/compression_eval/results/.gitkeep
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# Web UI build output
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hermes_cli/web_dist/
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@@ -69,4 +73,3 @@ mini-swe-agent/
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.nix-stamps/
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result
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website/static/api/skills-index.json
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models-dev-upstream/
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@@ -38,7 +38,7 @@ hermes-agent/
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│ │ # homeassistant, signal, matrix, mattermost, email, sms,
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│ │ # dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,
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│ │ # webhook, api_server, ...). See ADDING_A_PLATFORM.md.
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│ └── builtin_hooks/ # Extension point for always-registered gateway hooks (none shipped)
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│ └── builtin_hooks/ # Always-registered gateway hooks (boot-md, ...)
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├── plugins/ # Plugin system (see "Plugins" section below)
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│ ├── memory/ # Memory-provider plugins (honcho, mem0, supermemory, ...)
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│ ├── context_engine/ # Context-engine plugins
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@@ -240,19 +240,6 @@ npm run fmt # prettier
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npm test # vitest
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```
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### TUI in the Dashboard (`hermes dashboard` → `/chat`)
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The dashboard embeds the real `hermes --tui` — **not** a rewrite. See `hermes_cli/pty_bridge.py` + the `@app.websocket("/api/pty")` endpoint in `hermes_cli/web_server.py`.
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- Browser loads `web/src/pages/ChatPage.tsx`, which mounts xterm.js's `Terminal` with the WebGL renderer, `@xterm/addon-fit` for container-driven resize, and `@xterm/addon-unicode11` for modern wide-character widths.
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- `/api/pty?token=…` upgrades to a WebSocket; auth uses the same ephemeral `_SESSION_TOKEN` as REST, via query param (browsers can't set `Authorization` on WS upgrade).
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- The server spawns whatever `hermes --tui` would spawn, through `ptyprocess` (POSIX PTY — WSL works, native Windows does not).
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- Frames: raw PTY bytes each direction; resize via `\x1b[RESIZE:<cols>;<rows>]` intercepted on the server and applied with `TIOCSWINSZ`.
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**Do not re-implement the primary chat experience in React.** The main transcript, composer/input flow (including slash-command behavior), and PTY-backed terminal belong to the embedded `hermes --tui` — anything new you add to Ink shows up in the dashboard automatically. If you find yourself rebuilding the transcript or composer for the dashboard, stop and extend Ink instead.
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**Structured React UI around the TUI is allowed when it is not a second chat surface.** Sidebar widgets, inspectors, summaries, status panels, and similar supporting views (e.g. `ChatSidebar`, `ModelPickerDialog`, `ToolCall`) are fine when they complement the embedded TUI rather than replacing the transcript / composer / terminal. Keep their state independent of the PTY child's session and surface their failures non-destructively so the terminal pane keeps working unimpaired.
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---
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## Adding New Tools
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+3
-13
@@ -14,7 +14,7 @@ ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
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# that would otherwise accumulate when hermes runs as PID 1. See #15012.
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
|
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build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini && \
|
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build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini && \
|
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rm -rf /var/lib/apt/lists/*
|
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|
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# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
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@@ -30,28 +30,18 @@ WORKDIR /opt/hermes
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# unless the lockfiles themselves change.
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COPY package.json package-lock.json ./
|
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COPY web/package.json web/package-lock.json web/
|
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COPY ui-tui/package.json ui-tui/package-lock.json ui-tui/
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COPY ui-tui/packages/hermes-ink/package.json ui-tui/packages/hermes-ink/package-lock.json ui-tui/packages/hermes-ink/
|
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|
||||
RUN npm install --prefer-offline --no-audit && \
|
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npx playwright install --with-deps chromium --only-shell && \
|
||||
(cd web && npm install --prefer-offline --no-audit) && \
|
||||
(cd ui-tui && npm install --prefer-offline --no-audit) && \
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npm cache clean --force
|
||||
|
||||
# ---------- Source code ----------
|
||||
# .dockerignore excludes node_modules, so the installs above survive.
|
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COPY --chown=hermes:hermes . .
|
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|
||||
# Build browser dashboard and terminal UI assets.
|
||||
RUN cd web && npm run build && \
|
||||
cd ../ui-tui && npm run build && \
|
||||
rm -rf node_modules/@hermes/ink && \
|
||||
rm -rf packages/hermes-ink/node_modules && \
|
||||
cp -R packages/hermes-ink node_modules/@hermes/ink && \
|
||||
npm install --omit=dev --prefer-offline --no-audit --prefix node_modules/@hermes/ink && \
|
||||
rm -rf node_modules/@hermes/ink/node_modules/react && \
|
||||
node --input-type=module -e "await import('@hermes/ink')"
|
||||
# Build web dashboard (Vite outputs to hermes_cli/web_dist/)
|
||||
RUN cd web && npm run build
|
||||
|
||||
# ---------- Permissions ----------
|
||||
# Make install dir world-readable so any HERMES_UID can read it at runtime.
|
||||
|
||||
@@ -112,17 +112,6 @@ def main() -> None:
|
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import acp
|
||||
from .server import HermesACPAgent
|
||||
|
||||
# MCP tool discovery from config.yaml — run before asyncio.run() so
|
||||
# it's safe to use blocking waits. (ACP also registers per-session
|
||||
# MCP servers dynamically via asyncio.to_thread inside the event
|
||||
# loop; that path is unaffected.) Moved from model_tools.py module
|
||||
# scope to avoid freezing the gateway's loop on lazy import (#16856).
|
||||
try:
|
||||
from tools.mcp_tool import discover_mcp_tools
|
||||
discover_mcp_tools()
|
||||
except Exception:
|
||||
logger.debug("MCP tool discovery failed at ACP startup", exc_info=True)
|
||||
|
||||
agent = HermesACPAgent()
|
||||
try:
|
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asyncio.run(acp.run_agent(agent, use_unstable_protocol=True))
|
||||
|
||||
+1
-28
@@ -3,7 +3,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import contextvars
|
||||
import logging
|
||||
import os
|
||||
from collections import defaultdict, deque
|
||||
@@ -575,22 +574,6 @@ class HermesACPAgent(acp.Agent):
|
||||
|
||||
def _run_agent() -> dict:
|
||||
nonlocal previous_approval_cb, previous_interactive
|
||||
# Bind HERMES_SESSION_KEY for this session so per-session caches
|
||||
# (e.g. the interactive sudo password cache in tools.terminal_tool)
|
||||
# scope to the ACP session rather than leaking across sessions
|
||||
# that land on the same reused executor thread. This call runs
|
||||
# inside a contextvars.copy_context() below, so the ContextVar
|
||||
# write is isolated from other concurrent ACP sessions.
|
||||
try:
|
||||
from gateway.session_context import (
|
||||
clear_session_vars,
|
||||
set_session_vars,
|
||||
)
|
||||
session_tokens = set_session_vars(session_key=session_id)
|
||||
except Exception:
|
||||
session_tokens = None
|
||||
clear_session_vars = None # type: ignore[assignment]
|
||||
logger.debug("Could not set ACP session context", exc_info=True)
|
||||
if approval_cb:
|
||||
try:
|
||||
from tools import terminal_tool as _terminal_tool
|
||||
@@ -624,19 +607,9 @@ class HermesACPAgent(acp.Agent):
|
||||
_terminal_tool.set_approval_callback(previous_approval_cb)
|
||||
except Exception:
|
||||
logger.debug("Could not restore approval callback", exc_info=True)
|
||||
if session_tokens is not None and clear_session_vars is not None:
|
||||
try:
|
||||
clear_session_vars(session_tokens)
|
||||
except Exception:
|
||||
logger.debug("Could not clear ACP session context", exc_info=True)
|
||||
|
||||
try:
|
||||
# Wrap the executor call in a fresh copy of the current context so
|
||||
# concurrent ACP sessions on the shared ThreadPoolExecutor don't
|
||||
# stomp on each other's ContextVar writes (HERMES_SESSION_KEY in
|
||||
# particular — used by the interactive sudo password cache scope).
|
||||
ctx = contextvars.copy_context()
|
||||
result = await loop.run_in_executor(_executor, ctx.run, _run_agent)
|
||||
result = await loop.run_in_executor(_executor, _run_agent)
|
||||
except Exception:
|
||||
logger.exception("Executor error for session %s", session_id)
|
||||
return PromptResponse(stop_reason="end_turn")
|
||||
|
||||
+82
-196
@@ -22,25 +22,10 @@ from hermes_constants import get_hermes_home
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
from utils import normalize_proxy_env_vars
|
||||
|
||||
# NOTE: `import anthropic` is deliberately NOT at module top — the SDK pulls
|
||||
# ~220 ms of imports (anthropic.types, anthropic.lib.tools._beta_runner, etc.)
|
||||
# and the 3 usage sites (build_anthropic_client, build_anthropic_bedrock_client,
|
||||
# read_claude_code_credentials_from_keychain) are all on cold user-triggered
|
||||
# paths. Access via the `_get_anthropic_sdk()` accessor below, which caches
|
||||
# the module after the first call and returns None on ImportError.
|
||||
_anthropic_sdk: Any = ... # sentinel — None means "tried and missing"
|
||||
|
||||
|
||||
def _get_anthropic_sdk():
|
||||
"""Return the ``anthropic`` SDK module, importing lazily. None if not installed."""
|
||||
global _anthropic_sdk
|
||||
if _anthropic_sdk is ...:
|
||||
try:
|
||||
import anthropic as _sdk
|
||||
_anthropic_sdk = _sdk
|
||||
except ImportError:
|
||||
_anthropic_sdk = None
|
||||
return _anthropic_sdk
|
||||
try:
|
||||
import anthropic as _anthropic_sdk
|
||||
except ImportError:
|
||||
_anthropic_sdk = None # type: ignore[assignment]
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -217,33 +202,19 @@ def _forbids_sampling_params(model: str) -> bool:
|
||||
|
||||
|
||||
# Beta headers for enhanced features (sent with ALL auth types).
|
||||
# As of Opus 4.7 (2026-04-16), the first two are GA on Claude 4.6+ — the
|
||||
# As of Opus 4.7 (2026-04-16), both of these are GA on Claude 4.6+ — the
|
||||
# beta headers are still accepted (harmless no-op) but not required. Kept
|
||||
# here so older Claude (4.5, 4.1) + third-party Anthropic-compat endpoints
|
||||
# that still gate on the headers continue to get the enhanced features.
|
||||
#
|
||||
# ``context-1m-2025-08-07`` unlocks the 1M context window on Claude Opus 4.6/4.7
|
||||
# and Sonnet 4.6 when served via AWS Bedrock or Azure AI Foundry. 1M is GA on
|
||||
# native Anthropic (api.anthropic.com) for Opus 4.6+, but Bedrock/Azure still
|
||||
# gate it behind this beta header as of 2026-04 — without it Bedrock caps Opus
|
||||
# at 200K even though model_metadata.py advertises 1M. The header is a harmless
|
||||
# no-op on endpoints where 1M is GA.
|
||||
#
|
||||
# Migration guide: remove these if you no longer support ≤4.5 models or once
|
||||
# Bedrock/Azure promote 1M to GA.
|
||||
# Migration guide: remove these if you no longer support ≤4.5 models.
|
||||
_COMMON_BETAS = [
|
||||
"interleaved-thinking-2025-05-14",
|
||||
"fine-grained-tool-streaming-2025-05-14",
|
||||
"context-1m-2025-08-07",
|
||||
]
|
||||
# MiniMax's Anthropic-compatible endpoints fail tool-use requests when
|
||||
# the fine-grained tool streaming beta is present. Omit it so tool calls
|
||||
# fall back to the provider's default response path.
|
||||
_TOOL_STREAMING_BETA = "fine-grained-tool-streaming-2025-05-14"
|
||||
# 1M context beta — see comment on _COMMON_BETAS above. Stripped for
|
||||
# Bearer-auth (MiniMax) endpoints since they host their own models and
|
||||
# unknown Anthropic beta headers risk request rejection.
|
||||
_CONTEXT_1M_BETA = "context-1m-2025-08-07"
|
||||
|
||||
# Fast mode beta — enables the ``speed: "fast"`` request parameter for
|
||||
# significantly higher output token throughput on Opus 4.6 (~2.5x).
|
||||
@@ -257,11 +228,10 @@ _OAUTH_ONLY_BETAS = [
|
||||
"oauth-2025-04-20",
|
||||
]
|
||||
|
||||
# Claude Code version — sent on OAuth token-exchange / refresh requests
|
||||
# (platform.claude.com/v1/oauth/token) as the client's user-agent. Anthropic's
|
||||
# OAuth flow validates the UA and may reject requests with a version that's
|
||||
# too old, so detecting dynamically keeps users on a current Claude Code
|
||||
# install from hitting stale-version errors during login/refresh.
|
||||
# Claude Code identity — required for OAuth requests to be routed correctly.
|
||||
# Without these, Anthropic's infrastructure intermittently 500s OAuth traffic.
|
||||
# The version must stay reasonably current — Anthropic rejects OAuth requests
|
||||
# when the spoofed user-agent version is too far behind the actual release.
|
||||
_CLAUDE_CODE_VERSION_FALLBACK = "2.1.74"
|
||||
_claude_code_version_cache: Optional[str] = None
|
||||
|
||||
@@ -269,9 +239,9 @@ _claude_code_version_cache: Optional[str] = None
|
||||
def _detect_claude_code_version() -> str:
|
||||
"""Detect the installed Claude Code version, fall back to a static constant.
|
||||
|
||||
Used only by the OAuth token-exchange / refresh flow
|
||||
(``platform.claude.com/v1/oauth/token``). The Messages API client no
|
||||
longer sends a claude-cli user-agent.
|
||||
Anthropic's OAuth infrastructure validates the user-agent version and may
|
||||
reject requests with a version that's too old. Detecting dynamically means
|
||||
users who keep Claude Code updated never hit stale-version 400s.
|
||||
"""
|
||||
import subprocess as _sp
|
||||
|
||||
@@ -291,13 +261,12 @@ def _detect_claude_code_version() -> str:
|
||||
return _CLAUDE_CODE_VERSION_FALLBACK
|
||||
|
||||
|
||||
def _get_claude_code_version() -> str:
|
||||
"""Lazily detect the installed Claude Code version for OAuth flow headers.
|
||||
_CLAUDE_CODE_SYSTEM_PREFIX = "You are Claude Code, Anthropic's official CLI for Claude."
|
||||
_MCP_TOOL_PREFIX = "mcp_"
|
||||
|
||||
Used only on the OAuth token-exchange and refresh endpoints
|
||||
(``platform.claude.com/v1/oauth/token``). The Messages API client does
|
||||
not send a claude-cli user-agent.
|
||||
"""
|
||||
|
||||
def _get_claude_code_version() -> str:
|
||||
"""Lazily detect the installed Claude Code version when OAuth headers need it."""
|
||||
global _claude_code_version_cache
|
||||
if _claude_code_version_cache is None:
|
||||
_claude_code_version_cache = _detect_claude_code_version()
|
||||
@@ -388,14 +357,9 @@ def _common_betas_for_base_url(base_url: str | None) -> list[str]:
|
||||
that include Anthropic's ``fine-grained-tool-streaming`` beta — every
|
||||
tool-use message triggers a connection error. Strip that beta for
|
||||
Bearer-auth endpoints while keeping all other betas intact.
|
||||
|
||||
The ``context-1m-2025-08-07`` beta is also stripped for Bearer-auth
|
||||
endpoints — MiniMax hosts its own models, not Claude, so the header is
|
||||
irrelevant at best and risks request rejection at worst.
|
||||
"""
|
||||
if _requires_bearer_auth(base_url):
|
||||
_stripped = {_TOOL_STREAMING_BETA, _CONTEXT_1M_BETA}
|
||||
return [b for b in _COMMON_BETAS if b not in _stripped]
|
||||
return [b for b in _COMMON_BETAS if b != _TOOL_STREAMING_BETA]
|
||||
return _COMMON_BETAS
|
||||
|
||||
|
||||
@@ -410,7 +374,6 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
|
||||
|
||||
Returns an anthropic.Anthropic instance.
|
||||
"""
|
||||
_anthropic_sdk = _get_anthropic_sdk()
|
||||
if _anthropic_sdk is None:
|
||||
raise ImportError(
|
||||
"The 'anthropic' package is required for the Anthropic provider. "
|
||||
@@ -427,16 +390,7 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
|
||||
"timeout": Timeout(timeout=float(_read_timeout), connect=10.0),
|
||||
}
|
||||
if normalized_base_url:
|
||||
# Azure Anthropic endpoints require an ``api-version`` query parameter.
|
||||
# Pass it via default_query so the SDK appends it to every request URL
|
||||
# without corrupting the base_url (appending it directly produces
|
||||
# malformed paths like /anthropic?api-version=.../v1/messages).
|
||||
_is_azure_endpoint = "azure.com" in normalized_base_url.lower()
|
||||
if _is_azure_endpoint and "api-version" not in normalized_base_url:
|
||||
kwargs["base_url"] = normalized_base_url.rstrip("/")
|
||||
kwargs["default_query"] = {"api-version": "2025-04-15"}
|
||||
else:
|
||||
kwargs["base_url"] = normalized_base_url
|
||||
kwargs["base_url"] = normalized_base_url
|
||||
common_betas = _common_betas_for_base_url(normalized_base_url)
|
||||
|
||||
if _is_kimi_coding_endpoint(base_url):
|
||||
@@ -467,21 +421,15 @@ def build_anthropic_client(api_key: str, base_url: str = None, timeout: float =
|
||||
if common_betas:
|
||||
kwargs["default_headers"] = {"anthropic-beta": ",".join(common_betas)}
|
||||
elif _is_oauth_token(api_key):
|
||||
# OAuth access token / setup-token → Bearer auth + OAuth-only betas.
|
||||
# The OAuth-specific beta headers are still required by Anthropic's
|
||||
# OAuth-gated Messages API path; the Claude Code user-agent / x-app
|
||||
# spoofing is deliberately NOT sent — Hermes identifies as itself.
|
||||
#
|
||||
# ``context-1m-2025-08-07`` is stripped here: Anthropic rejects
|
||||
# OAuth requests that carry it with
|
||||
# "This authentication style is incompatible with the long
|
||||
# context beta header."
|
||||
# Subscription-gated OAuth traffic gets the 200K default window.
|
||||
oauth_safe_common = [b for b in common_betas if b != _CONTEXT_1M_BETA]
|
||||
all_betas = oauth_safe_common + _OAUTH_ONLY_BETAS
|
||||
# OAuth access token / setup-token → Bearer auth + Claude Code identity.
|
||||
# Anthropic routes OAuth requests based on user-agent and headers;
|
||||
# without Claude Code's fingerprint, requests get intermittent 500s.
|
||||
all_betas = common_betas + _OAUTH_ONLY_BETAS
|
||||
kwargs["auth_token"] = api_key
|
||||
kwargs["default_headers"] = {
|
||||
"anthropic-beta": ",".join(all_betas),
|
||||
"user-agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
|
||||
"x-app": "cli",
|
||||
}
|
||||
else:
|
||||
# Regular API key → x-api-key header + common betas
|
||||
@@ -499,16 +447,8 @@ def build_anthropic_bedrock_client(region: str):
|
||||
Claude feature parity: prompt caching, thinking budgets, adaptive
|
||||
thinking, fast mode — features not available via the Converse API.
|
||||
|
||||
Attaches the common Anthropic beta headers as client-level defaults so
|
||||
that Bedrock-hosted Claude models get the same enhanced features as
|
||||
native Anthropic. The ``context-1m-2025-08-07`` beta in particular
|
||||
unlocks the 1M context window for Opus 4.6/4.7 on Bedrock — without
|
||||
it, Bedrock caps these models at 200K even though the Anthropic API
|
||||
serves them with 1M natively.
|
||||
|
||||
Auth uses the boto3 default credential chain (IAM roles, SSO, env vars).
|
||||
"""
|
||||
_anthropic_sdk = _get_anthropic_sdk()
|
||||
if _anthropic_sdk is None:
|
||||
raise ImportError(
|
||||
"The 'anthropic' package is required for the Bedrock provider. "
|
||||
@@ -524,7 +464,6 @@ def build_anthropic_bedrock_client(region: str):
|
||||
return _anthropic_sdk.AnthropicBedrock(
|
||||
aws_region=region,
|
||||
timeout=Timeout(timeout=900.0, connect=10.0),
|
||||
default_headers={"anthropic-beta": ",".join(_COMMON_BETAS)},
|
||||
)
|
||||
|
||||
|
||||
@@ -540,6 +479,9 @@ def _read_claude_code_credentials_from_keychain() -> Optional[Dict[str, Any]]:
|
||||
|
||||
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
|
||||
"""
|
||||
import platform
|
||||
import subprocess
|
||||
|
||||
if platform.system() != "Darwin":
|
||||
return None
|
||||
|
||||
@@ -825,45 +767,17 @@ def resolve_anthropic_token() -> Optional[str]:
|
||||
"""Resolve an Anthropic token from all available sources.
|
||||
|
||||
Priority:
|
||||
1. Hermes credential pool (``~/.hermes/auth.json`` →
|
||||
``credential_pool.anthropic``) — OAuth tokens minted by Hermes'
|
||||
own PKCE login flow. Entries are auto-refreshed when near
|
||||
expiry. Env-sourced pool entries (``source="env:..."``) are
|
||||
skipped here so the env-var priority logic below still runs.
|
||||
2. ANTHROPIC_TOKEN env var (OAuth/setup token saved by Hermes)
|
||||
3. CLAUDE_CODE_OAUTH_TOKEN env var
|
||||
4. Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json)
|
||||
1. ANTHROPIC_TOKEN env var (OAuth/setup token saved by Hermes)
|
||||
2. CLAUDE_CODE_OAUTH_TOKEN env var
|
||||
3. Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json)
|
||||
— with automatic refresh if expired and a refresh token is available
|
||||
5. ANTHROPIC_API_KEY env var (regular API key, or legacy fallback)
|
||||
4. ANTHROPIC_API_KEY env var (regular API key, or legacy fallback)
|
||||
|
||||
Returns the token string or None.
|
||||
"""
|
||||
# 1. Hermes credential pool — the live source of truth for tokens
|
||||
# minted via ``hermes login anthropic`` / the dashboard PKCE flow.
|
||||
# ``select()`` picks the best available entry and refreshes it if
|
||||
# it's near expiry, so callers always get a fresh token.
|
||||
#
|
||||
# Skip env-sourced pool entries (``env:ANTHROPIC_TOKEN``, etc.) —
|
||||
# those are passthroughs of the env var, and the env-var branches
|
||||
# below have richer priority logic (``_prefer_refreshable_claude_code_token``)
|
||||
# that can upgrade a static env OAuth token to a refreshed
|
||||
# Claude Code token. Letting the pool win here would short-circuit
|
||||
# that upgrade.
|
||||
try:
|
||||
from agent.credential_pool import load_pool
|
||||
pool = load_pool("anthropic")
|
||||
entry = pool.select()
|
||||
if entry and entry.access_token and not entry.source.startswith("env:"):
|
||||
return entry.access_token
|
||||
except Exception as exc:
|
||||
# Pool lookup is best-effort — fall through to env/file sources
|
||||
# if anything goes wrong (e.g. auth.json corruption during a
|
||||
# concurrent write).
|
||||
logger.debug("Credential-pool lookup failed for anthropic: %s", exc)
|
||||
|
||||
creds = read_claude_code_credentials()
|
||||
|
||||
# 2. Hermes-managed OAuth/setup token env var
|
||||
# 1. Hermes-managed OAuth/setup token env var
|
||||
token = os.getenv("ANTHROPIC_TOKEN", "").strip()
|
||||
if token:
|
||||
preferred = _prefer_refreshable_claude_code_token(token, creds)
|
||||
@@ -871,7 +785,7 @@ def resolve_anthropic_token() -> Optional[str]:
|
||||
return preferred
|
||||
return token
|
||||
|
||||
# 3. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
|
||||
# 2. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
|
||||
cc_token = os.getenv("CLAUDE_CODE_OAUTH_TOKEN", "").strip()
|
||||
if cc_token:
|
||||
preferred = _prefer_refreshable_claude_code_token(cc_token, creds)
|
||||
@@ -879,12 +793,12 @@ def resolve_anthropic_token() -> Optional[str]:
|
||||
return preferred
|
||||
return cc_token
|
||||
|
||||
# 4. Claude Code credential file
|
||||
# 3. Claude Code credential file
|
||||
resolved_claude_token = _resolve_claude_code_token_from_credentials(creds)
|
||||
if resolved_claude_token:
|
||||
return resolved_claude_token
|
||||
|
||||
# 5. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
|
||||
# 4. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
|
||||
# This remains as a compatibility fallback for pre-migration Hermes configs.
|
||||
api_key = os.getenv("ANTHROPIC_API_KEY", "").strip()
|
||||
if api_key:
|
||||
@@ -1072,26 +986,6 @@ def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _is_bedrock_model_id(model: str) -> bool:
|
||||
"""Detect AWS Bedrock model IDs that use dots as namespace separators.
|
||||
|
||||
Bedrock model IDs come in two forms:
|
||||
- Bare: ``anthropic.claude-opus-4-7``
|
||||
- Regional (inference profiles): ``us.anthropic.claude-sonnet-4-5-v1:0``
|
||||
|
||||
In both cases the dots separate namespace components, not version
|
||||
numbers, and must be preserved verbatim for the Bedrock API.
|
||||
"""
|
||||
lower = model.lower()
|
||||
# Regional inference-profile prefixes
|
||||
if any(lower.startswith(p) for p in ("global.", "us.", "eu.", "ap.", "jp.")):
|
||||
return True
|
||||
# Bare Bedrock model IDs: provider.model-family
|
||||
if lower.startswith("anthropic."):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
|
||||
"""Normalize a model name for the Anthropic API.
|
||||
|
||||
@@ -1099,19 +993,11 @@ def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
|
||||
- Converts dots to hyphens in version numbers (OpenRouter uses dots,
|
||||
Anthropic uses hyphens: claude-opus-4.6 → claude-opus-4-6), unless
|
||||
preserve_dots is True (e.g. for Alibaba/DashScope: qwen3.5-plus).
|
||||
- Preserves Bedrock model IDs (``anthropic.claude-opus-4-7``) and
|
||||
regional inference profiles (``us.anthropic.claude-*``) whose dots
|
||||
are namespace separators, not version separators.
|
||||
"""
|
||||
lower = model.lower()
|
||||
if lower.startswith("anthropic/"):
|
||||
model = model[len("anthropic/"):]
|
||||
if not preserve_dots:
|
||||
# Bedrock model IDs use dots as namespace separators
|
||||
# (e.g. "anthropic.claude-opus-4-7", "us.anthropic.claude-*").
|
||||
# These must not be converted to hyphens. See issue #12295.
|
||||
if _is_bedrock_model_id(model):
|
||||
return model
|
||||
# OpenRouter uses dots for version separators (claude-opus-4.6),
|
||||
# Anthropic uses hyphens (claude-opus-4-6). Convert dots to hyphens.
|
||||
model = model.replace(".", "-")
|
||||
@@ -1131,33 +1017,6 @@ def _sanitize_tool_id(tool_id: str) -> str:
|
||||
return sanitized or "tool_0"
|
||||
|
||||
|
||||
def _normalize_tool_input_schema(schema: Any) -> Dict[str, Any]:
|
||||
"""Normalize tool schemas before sending them to Anthropic.
|
||||
|
||||
Anthropic's tool schema validator rejects nullable unions such as
|
||||
``anyOf: [{"type": "string"}, {"type": "null"}]`` that Pydantic/MCP
|
||||
commonly emits for optional fields. Tool optionality is represented by
|
||||
the parent ``required`` array, so we delegate to the shared
|
||||
``strip_nullable_unions`` helper to collapse nullable unions to the
|
||||
non-null branch while preserving metadata like description/default.
|
||||
|
||||
``keep_nullable_hint=False`` because the Anthropic validator does not
|
||||
recognize the OpenAPI-style ``nullable: true`` extension and strict
|
||||
schema-to-grammar converters may reject unknown keywords.
|
||||
"""
|
||||
if not schema:
|
||||
return {"type": "object", "properties": {}}
|
||||
|
||||
from tools.schema_sanitizer import strip_nullable_unions
|
||||
|
||||
normalized = strip_nullable_unions(schema, keep_nullable_hint=False)
|
||||
if not isinstance(normalized, dict):
|
||||
return {"type": "object", "properties": {}}
|
||||
if normalized.get("type") == "object" and not isinstance(normalized.get("properties"), dict):
|
||||
normalized = {**normalized, "properties": {}}
|
||||
return normalized
|
||||
|
||||
|
||||
def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
|
||||
"""Convert OpenAI tool definitions to Anthropic format."""
|
||||
if not tools:
|
||||
@@ -1168,9 +1027,7 @@ def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
|
||||
result.append({
|
||||
"name": fn.get("name", ""),
|
||||
"description": fn.get("description", ""),
|
||||
"input_schema": _normalize_tool_input_schema(
|
||||
fn.get("parameters", {"type": "object", "properties": {}})
|
||||
),
|
||||
"input_schema": fn.get("parameters", {"type": "object", "properties": {}}),
|
||||
})
|
||||
return result
|
||||
|
||||
@@ -1649,10 +1506,8 @@ def build_anthropic_kwargs(
|
||||
"max_tokens too large given prompt" errors and retry with a smaller cap
|
||||
(see parse_available_output_tokens_from_error + _ephemeral_max_output_tokens).
|
||||
|
||||
When *is_oauth* is True, enables the OAuth-only beta headers required by
|
||||
Anthropic's subscription-gated Messages endpoint (fast-mode branch only;
|
||||
the default headers are set by build_anthropic_client). No system-prompt
|
||||
or tool-name rewriting is performed — Hermes identifies as itself.
|
||||
When *is_oauth* is True, applies Claude Code compatibility transforms:
|
||||
system prompt prefix, tool name prefixing, and prompt sanitization.
|
||||
|
||||
When *preserve_dots* is True, model name dots are not converted to hyphens
|
||||
(for Alibaba/DashScope anthropic-compatible endpoints: qwen3.5-plus).
|
||||
@@ -1685,11 +1540,45 @@ def build_anthropic_kwargs(
|
||||
if context_length and effective_max_tokens > context_length:
|
||||
effective_max_tokens = max(context_length - 1, 1)
|
||||
|
||||
# OAuth requests go through Anthropic's subscription-gated Messages
|
||||
# endpoint but otherwise send the real Hermes system prompt and real
|
||||
# Hermes tool names — the only OAuth-specific wire differences are
|
||||
# Bearer auth and the _OAUTH_ONLY_BETAS header (applied in
|
||||
# build_anthropic_client and the fast-mode branch below).
|
||||
# ── OAuth: Claude Code identity ──────────────────────────────────
|
||||
if is_oauth:
|
||||
# 1. Prepend Claude Code system prompt identity
|
||||
cc_block = {"type": "text", "text": _CLAUDE_CODE_SYSTEM_PREFIX}
|
||||
if isinstance(system, list):
|
||||
system = [cc_block] + system
|
||||
elif isinstance(system, str) and system:
|
||||
system = [cc_block, {"type": "text", "text": system}]
|
||||
else:
|
||||
system = [cc_block]
|
||||
|
||||
# 2. Sanitize system prompt — replace product name references
|
||||
# to avoid Anthropic's server-side content filters.
|
||||
for block in system:
|
||||
if isinstance(block, dict) and block.get("type") == "text":
|
||||
text = block.get("text", "")
|
||||
text = text.replace("Hermes Agent", "Claude Code")
|
||||
text = text.replace("Hermes agent", "Claude Code")
|
||||
text = text.replace("hermes-agent", "claude-code")
|
||||
text = text.replace("Nous Research", "Anthropic")
|
||||
block["text"] = text
|
||||
|
||||
# 3. Prefix tool names with mcp_ (Claude Code convention)
|
||||
if anthropic_tools:
|
||||
for tool in anthropic_tools:
|
||||
if "name" in tool:
|
||||
tool["name"] = _MCP_TOOL_PREFIX + tool["name"]
|
||||
|
||||
# 4. Prefix tool names in message history (tool_use and tool_result blocks)
|
||||
for msg in anthropic_messages:
|
||||
content = msg.get("content")
|
||||
if isinstance(content, list):
|
||||
for block in content:
|
||||
if isinstance(block, dict):
|
||||
if block.get("type") == "tool_use" and "name" in block:
|
||||
if not block["name"].startswith(_MCP_TOOL_PREFIX):
|
||||
block["name"] = _MCP_TOOL_PREFIX + block["name"]
|
||||
elif block.get("type") == "tool_result" and "tool_use_id" in block:
|
||||
pass # tool_result uses ID, not name
|
||||
|
||||
kwargs: Dict[str, Any] = {
|
||||
"model": model,
|
||||
@@ -1763,9 +1652,9 @@ def build_anthropic_kwargs(
|
||||
|
||||
# ── Strip sampling params on 4.7+ ─────────────────────────────────
|
||||
# Opus 4.7 rejects any non-default temperature/top_p/top_k with a 400.
|
||||
# Callers (auxiliary_client, etc.) may set these for older models;
|
||||
# drop them here as a safety net so upstream 4.6 → 4.7 migrations
|
||||
# don't require coordinated edits everywhere.
|
||||
# Callers (auxiliary_client, flush_memories, etc.) may set these for
|
||||
# older models; drop them here as a safety net so upstream 4.6 → 4.7
|
||||
# migrations don't require coordinated edits everywhere.
|
||||
if _forbids_sampling_params(model):
|
||||
for _sampling_key in ("temperature", "top_p", "top_k"):
|
||||
kwargs.pop(_sampling_key, None)
|
||||
@@ -1780,9 +1669,6 @@ def build_anthropic_kwargs(
|
||||
# extra_headers override the client-level anthropic-beta header).
|
||||
betas = list(_common_betas_for_base_url(base_url))
|
||||
if is_oauth:
|
||||
# Strip context-1m — incompatible with OAuth auth. See matching
|
||||
# comment in build_anthropic_client().
|
||||
betas = [b for b in betas if b != _CONTEXT_1M_BETA]
|
||||
betas.extend(_OAUTH_ONLY_BETAS)
|
||||
betas.append(_FAST_MODE_BETA)
|
||||
kwargs["extra_headers"] = {"anthropic-beta": ",".join(betas)}
|
||||
|
||||
+64
-501
@@ -41,57 +41,9 @@ import threading
|
||||
import time
|
||||
from pathlib import Path # noqa: F401 — used by test mocks
|
||||
from types import SimpleNamespace
|
||||
from typing import Any, Dict, List, Optional, Tuple, TYPE_CHECKING
|
||||
from urllib.parse import urlparse, parse_qs, urlunparse
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
|
||||
# NOTE: `from openai import OpenAI` is deliberately NOT at module top — the
|
||||
# openai SDK pulls a large type tree (~240 ms cold, including responses/*,
|
||||
# graders/*). We expose `OpenAI` here as a thin proxy that imports the SDK on
|
||||
# first call and forwards, so:
|
||||
# (a) the 15+ in-module `OpenAI(...)` construction sites work unchanged
|
||||
# (Python's function-scope name lookup resolves `OpenAI` to the proxy
|
||||
# object bound in module globals here, without triggering any import);
|
||||
# (b) external code can still do `auxiliary_client.OpenAI` or
|
||||
# `patch("agent.auxiliary_client.OpenAI", ...)` — tests see the proxy,
|
||||
# and patch replaces the module attribute as usual;
|
||||
# (c) `OpenAI` as a type annotation resolves at runtime to the proxy class
|
||||
# (which is harmless — annotations aren't type-checked at runtime).
|
||||
# See tests/agent/test_auxiliary_client.py for patch patterns this supports.
|
||||
if TYPE_CHECKING:
|
||||
from openai import OpenAI # noqa: F401 — type hints only
|
||||
|
||||
_OPENAI_CLS_CACHE: Optional[type] = None
|
||||
|
||||
|
||||
def _load_openai_cls() -> type:
|
||||
"""Import and cache ``openai.OpenAI``."""
|
||||
global _OPENAI_CLS_CACHE
|
||||
if _OPENAI_CLS_CACHE is None:
|
||||
from openai import OpenAI as _cls
|
||||
_OPENAI_CLS_CACHE = _cls
|
||||
return _OPENAI_CLS_CACHE
|
||||
|
||||
|
||||
class _OpenAIProxy:
|
||||
"""Module-level proxy that looks like the ``openai.OpenAI`` class.
|
||||
|
||||
Forwards ``OpenAI(...)`` calls and ``isinstance(x, OpenAI)`` checks to the
|
||||
real SDK class, importing the SDK lazily on first use.
|
||||
"""
|
||||
|
||||
__slots__ = ()
|
||||
|
||||
def __call__(self, *args, **kwargs):
|
||||
return _load_openai_cls()(*args, **kwargs)
|
||||
|
||||
def __instancecheck__(self, obj):
|
||||
return isinstance(obj, _load_openai_cls())
|
||||
|
||||
def __repr__(self):
|
||||
return "<lazy openai.OpenAI proxy>"
|
||||
|
||||
|
||||
OpenAI = _OpenAIProxy() # module-level name, resolves lazily on call/isinstance
|
||||
from openai import OpenAI
|
||||
|
||||
from agent.credential_pool import load_pool
|
||||
from hermes_cli.config import get_hermes_home
|
||||
@@ -100,17 +52,6 @@ from utils import base_url_host_matches, base_url_hostname, normalize_proxy_env_
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def _extract_url_query_params(url: str):
|
||||
"""Extract query params from URL, return (clean_url, default_query dict or None)."""
|
||||
parsed = urlparse(url)
|
||||
if parsed.query:
|
||||
clean = urlunparse(parsed._replace(query=""))
|
||||
params = {k: v[0] for k, v in parse_qs(parsed.query).items()}
|
||||
return clean, params
|
||||
return url, None
|
||||
|
||||
|
||||
# Module-level flag: only warn once per process about stale OPENAI_BASE_URL.
|
||||
_stale_base_url_warned = False
|
||||
|
||||
@@ -129,8 +70,6 @@ _PROVIDER_ALIASES = {
|
||||
"moonshot": "kimi-coding",
|
||||
"kimi-cn": "kimi-coding-cn",
|
||||
"moonshot-cn": "kimi-coding-cn",
|
||||
"gmi-cloud": "gmi",
|
||||
"gmicloud": "gmi",
|
||||
"minimax-china": "minimax-cn",
|
||||
"minimax_cn": "minimax-cn",
|
||||
"claude": "anthropic",
|
||||
@@ -141,10 +80,6 @@ _PROVIDER_ALIASES = {
|
||||
"github-models": "copilot",
|
||||
"github-copilot-acp": "copilot-acp",
|
||||
"copilot-acp-agent": "copilot-acp",
|
||||
"tencent": "tencent-tokenhub",
|
||||
"tokenhub": "tencent-tokenhub",
|
||||
"tencent-cloud": "tencent-tokenhub",
|
||||
"tencentmaas": "tencent-tokenhub",
|
||||
}
|
||||
|
||||
|
||||
@@ -208,7 +143,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
|
||||
"kimi-coding": "kimi-k2-turbo-preview",
|
||||
"stepfun": "step-3.5-flash",
|
||||
"kimi-coding-cn": "kimi-k2-turbo-preview",
|
||||
"gmi": "google/gemini-3.1-flash-lite-preview",
|
||||
"minimax": "MiniMax-M2.7",
|
||||
"minimax-cn": "MiniMax-M2.7",
|
||||
"anthropic": "claude-haiku-4-5-20251001",
|
||||
@@ -217,7 +151,6 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
|
||||
"opencode-go": "glm-5",
|
||||
"kilocode": "google/gemini-3-flash-preview",
|
||||
"ollama-cloud": "nemotron-3-nano:30b",
|
||||
"tencent-tokenhub": "hy3-preview",
|
||||
}
|
||||
|
||||
# Vision-specific model overrides for direct providers.
|
||||
@@ -457,34 +390,7 @@ class _CodexCompletionsAdapter:
|
||||
# Note: the Codex endpoint (chatgpt.com/backend-api/codex) does NOT
|
||||
# support max_output_tokens or temperature — omit to avoid 400 errors.
|
||||
|
||||
# Translate extra_body.reasoning (chat.completions shape) into the
|
||||
# Responses API's top-level reasoning + include fields. Mirrors
|
||||
# agent/transports/codex.py::build_kwargs() so auxiliary callers
|
||||
# that configure reasoning via auxiliary.<task>.extra_body get the
|
||||
# same behavior as the main agent's Codex transport.
|
||||
extra_body = kwargs.get("extra_body") or {}
|
||||
if isinstance(extra_body, dict):
|
||||
reasoning_cfg = extra_body.get("reasoning")
|
||||
if isinstance(reasoning_cfg, dict):
|
||||
if reasoning_cfg.get("enabled") is False:
|
||||
# Reasoning explicitly disabled — do not set reasoning
|
||||
# or include. The Codex backend still thinks by
|
||||
# default, but we honor the caller's intent where the
|
||||
# API allows it.
|
||||
pass
|
||||
else:
|
||||
effort = reasoning_cfg.get("effort", "medium")
|
||||
# Codex backend rejects "minimal"; clamp to "low" to
|
||||
# match the main-agent Codex transport behavior.
|
||||
if effort == "minimal":
|
||||
effort = "low"
|
||||
resp_kwargs["reasoning"] = {
|
||||
"effort": effort,
|
||||
"summary": "auto",
|
||||
}
|
||||
resp_kwargs["include"] = ["reasoning.encrypted_content"]
|
||||
|
||||
# Tools support for auxiliary callers (e.g. skills_hub) that pass function schemas
|
||||
# Tools support for flush_memories and similar callers
|
||||
tools = kwargs.get("tools")
|
||||
if tools:
|
||||
converted = []
|
||||
@@ -713,7 +619,9 @@ class _AnthropicCompletionsAdapter:
|
||||
|
||||
response = self._client.messages.create(**anthropic_kwargs)
|
||||
_transport = get_transport("anthropic_messages")
|
||||
_nr = _transport.normalize_response(response)
|
||||
_nr = _transport.normalize_response(
|
||||
response, strip_tool_prefix=self._is_oauth
|
||||
)
|
||||
|
||||
# ToolCall already duck-types as OpenAI shape (.type, .function.name,
|
||||
# .function.arguments) via properties, so no wrapping needed.
|
||||
@@ -791,116 +699,6 @@ class AsyncAnthropicAuxiliaryClient:
|
||||
self.base_url = sync_wrapper.base_url
|
||||
|
||||
|
||||
def _endpoint_speaks_anthropic_messages(base_url: str) -> bool:
|
||||
"""True if the endpoint at ``base_url`` speaks the Anthropic Messages
|
||||
protocol instead of OpenAI chat.completions.
|
||||
|
||||
Mirrors ``hermes_cli.runtime_provider._detect_api_mode_for_url`` so the
|
||||
auxiliary client and the main agent stay in sync on transport selection.
|
||||
Covers:
|
||||
|
||||
- Any URL ending in ``/anthropic`` (MiniMax, Zhipu GLM, LiteLLM proxies,
|
||||
Anthropic-compatible gateways).
|
||||
- ``api.kimi.com/coding`` (Kimi Coding Plan — the /coding route only
|
||||
speaks Claude-Code's native Anthropic shape; ``chat.completions``
|
||||
returns 404 on Anthropic-only model aliases like ``kimi-for-coding``).
|
||||
- ``api.anthropic.com`` (native Anthropic).
|
||||
"""
|
||||
normalized = (base_url or "").strip().lower().rstrip("/")
|
||||
if not normalized:
|
||||
return False
|
||||
if normalized.endswith("/anthropic"):
|
||||
return True
|
||||
hostname = base_url_hostname(normalized)
|
||||
if hostname == "api.anthropic.com":
|
||||
return True
|
||||
if hostname == "api.kimi.com" and "/coding" in normalized:
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def _maybe_wrap_anthropic(
|
||||
client_obj: Any,
|
||||
model: str,
|
||||
api_key: str,
|
||||
base_url: str,
|
||||
api_mode: Optional[str] = None,
|
||||
) -> Any:
|
||||
"""Rewrap a plain OpenAI client in ``AnthropicAuxiliaryClient`` when
|
||||
the endpoint actually speaks Anthropic Messages.
|
||||
|
||||
This is the single chokepoint for aux-client transport correction.
|
||||
Runs at the end of every ``resolve_provider_client`` branch so that
|
||||
api_key providers (Kimi Coding Plan), the ``custom`` endpoint, and
|
||||
future /anthropic gateways all land on the right wire format
|
||||
regardless of which branch built the client.
|
||||
|
||||
Returns ``client_obj`` unchanged when:
|
||||
|
||||
- It's already an Anthropic/Codex/Gemini/CopilotACP wrapper.
|
||||
- The endpoint is an OpenAI-wire endpoint.
|
||||
- ``api_mode`` is explicitly set to a non-Anthropic transport.
|
||||
- The ``anthropic`` SDK is not installed (falls back to OpenAI wire).
|
||||
"""
|
||||
# Already wrapped — don't double-wrap.
|
||||
if isinstance(client_obj, AnthropicAuxiliaryClient):
|
||||
return client_obj
|
||||
# Other specialized adapters we should never re-dispatch.
|
||||
if isinstance(client_obj, CodexAuxiliaryClient):
|
||||
return client_obj
|
||||
try:
|
||||
from agent.gemini_native_adapter import GeminiNativeClient
|
||||
if isinstance(client_obj, GeminiNativeClient):
|
||||
return client_obj
|
||||
except ImportError:
|
||||
pass
|
||||
try:
|
||||
from agent.copilot_acp_client import CopilotACPClient
|
||||
if isinstance(client_obj, CopilotACPClient):
|
||||
return client_obj
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# Explicit non-anthropic api_mode wins over URL heuristics.
|
||||
if api_mode and api_mode != "anthropic_messages":
|
||||
return client_obj
|
||||
|
||||
should_wrap = (
|
||||
api_mode == "anthropic_messages"
|
||||
or _endpoint_speaks_anthropic_messages(base_url)
|
||||
)
|
||||
if not should_wrap:
|
||||
return client_obj
|
||||
|
||||
try:
|
||||
from agent.anthropic_adapter import build_anthropic_client
|
||||
except ImportError:
|
||||
logger.warning(
|
||||
"Endpoint %s speaks Anthropic Messages but the anthropic SDK is "
|
||||
"not installed — falling back to OpenAI-wire (will likely 404).",
|
||||
base_url,
|
||||
)
|
||||
return client_obj
|
||||
|
||||
try:
|
||||
real_client = build_anthropic_client(api_key, base_url)
|
||||
except Exception as exc:
|
||||
logger.warning(
|
||||
"Failed to build Anthropic client for %s (%s) — falling back to "
|
||||
"OpenAI-wire client.", base_url, exc,
|
||||
)
|
||||
return client_obj
|
||||
|
||||
logger.debug(
|
||||
"Auxiliary transport: wrapping client in AnthropicAuxiliaryClient "
|
||||
"(model=%s, base_url=%s, api_mode=%s)",
|
||||
model, base_url[:60] if base_url else "", api_mode or "auto-detected",
|
||||
)
|
||||
return AnthropicAuxiliaryClient(
|
||||
real_client, model, api_key, base_url, is_oauth=False,
|
||||
)
|
||||
|
||||
|
||||
def _read_nous_auth() -> Optional[dict]:
|
||||
"""Read and validate ~/.hermes/auth.json for an active Nous provider.
|
||||
|
||||
@@ -1071,9 +869,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
|
||||
from hermes_cli.models import copilot_default_headers
|
||||
|
||||
extra["default_headers"] = copilot_default_headers()
|
||||
_client = OpenAI(api_key=api_key, base_url=base_url, **extra)
|
||||
_client = _maybe_wrap_anthropic(_client, model, api_key, base_url)
|
||||
return _client, model
|
||||
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
|
||||
|
||||
creds = resolve_api_key_provider_credentials(provider_id)
|
||||
api_key = str(creds.get("api_key", "")).strip()
|
||||
@@ -1099,9 +895,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
|
||||
from hermes_cli.models import copilot_default_headers
|
||||
|
||||
extra["default_headers"] = copilot_default_headers()
|
||||
_client = OpenAI(api_key=api_key, base_url=base_url, **extra)
|
||||
_client = _maybe_wrap_anthropic(_client, model, api_key, base_url)
|
||||
return _client, model
|
||||
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
|
||||
|
||||
return None, None
|
||||
|
||||
@@ -1363,10 +1157,8 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
|
||||
return None, None
|
||||
model = _read_main_model() or "gpt-4o-mini"
|
||||
logger.debug("Auxiliary client: custom endpoint (%s, api_mode=%s)", model, custom_mode or "chat_completions")
|
||||
_clean_base, _dq = _extract_url_query_params(custom_base)
|
||||
_extra = {"default_query": _dq} if _dq else {}
|
||||
if custom_mode == "codex_responses":
|
||||
real_client = OpenAI(api_key=custom_key, base_url=_clean_base, **_extra)
|
||||
real_client = OpenAI(api_key=custom_key, base_url=custom_base)
|
||||
return CodexAuxiliaryClient(real_client, model), model
|
||||
if custom_mode == "anthropic_messages":
|
||||
# Third-party Anthropic-compatible gateway (MiniMax, Zhipu GLM,
|
||||
@@ -1380,18 +1172,12 @@ def _try_custom_endpoint() -> Tuple[Optional[Any], Optional[str]]:
|
||||
"Custom endpoint declares api_mode=anthropic_messages but the "
|
||||
"anthropic SDK is not installed — falling back to OpenAI-wire."
|
||||
)
|
||||
return OpenAI(api_key=custom_key, base_url=_clean_base, **_extra), model
|
||||
return OpenAI(api_key=custom_key, base_url=custom_base), model
|
||||
return (
|
||||
AnthropicAuxiliaryClient(real_client, model, custom_key, custom_base, is_oauth=False),
|
||||
model,
|
||||
)
|
||||
# URL-based anthropic detection for custom endpoints that didn't set
|
||||
# api_mode explicitly (e.g. kimi.com/coding reached via custom config).
|
||||
_fallback_client = OpenAI(api_key=custom_key, base_url=_clean_base, **_extra)
|
||||
_fallback_client = _maybe_wrap_anthropic(
|
||||
_fallback_client, model, custom_key, custom_base, custom_mode,
|
||||
)
|
||||
return _fallback_client, model
|
||||
return OpenAI(api_key=custom_key, base_url=custom_base), model
|
||||
|
||||
|
||||
def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
|
||||
@@ -1563,49 +1349,6 @@ def _is_auth_error(exc: Exception) -> bool:
|
||||
return "error code: 401" in err_lower or "authenticationerror" in type(exc).__name__.lower()
|
||||
|
||||
|
||||
def _is_unsupported_parameter_error(exc: Exception, param: str) -> bool:
|
||||
"""Detect provider 400s for an unsupported request parameter.
|
||||
|
||||
Different OpenAI-compatible endpoints phrase the same class of error a few
|
||||
ways: ``Unsupported parameter: X``, ``unsupported_parameter`` with a
|
||||
``param`` field, ``X is not supported``, ``unknown parameter: X``,
|
||||
``unrecognized request argument: X``. We match on both the parameter
|
||||
name and a generic "unsupported/unknown/unrecognized parameter" marker so
|
||||
call sites can reactively retry without the offending key instead of
|
||||
surfacing a noisy auxiliary failure.
|
||||
|
||||
Generalizes the temperature-specific detector that originally shipped
|
||||
with PR #15621 so the same retry strategy can cover ``max_tokens``,
|
||||
``seed``, ``top_p``, and any future quirk. Credit @nicholasrae (PR #15416)
|
||||
for the generalization pattern.
|
||||
"""
|
||||
param_lower = (param or "").lower()
|
||||
if not param_lower:
|
||||
return False
|
||||
err_lower = str(exc).lower()
|
||||
if param_lower not in err_lower:
|
||||
return False
|
||||
return any(marker in err_lower for marker in (
|
||||
"unsupported parameter",
|
||||
"unsupported_parameter",
|
||||
"not supported",
|
||||
"does not support",
|
||||
"unknown parameter",
|
||||
"unrecognized request argument",
|
||||
"unrecognized parameter",
|
||||
"invalid parameter",
|
||||
))
|
||||
|
||||
|
||||
def _is_unsupported_temperature_error(exc: Exception) -> bool:
|
||||
"""Back-compat wrapper: detect API errors where the model rejects ``temperature``.
|
||||
|
||||
Delegates to :func:`_is_unsupported_parameter_error`; kept as a separate
|
||||
public symbol because existing tests and call sites import it by name.
|
||||
"""
|
||||
return _is_unsupported_parameter_error(exc, "temperature")
|
||||
|
||||
|
||||
def _evict_cached_clients(provider: str) -> None:
|
||||
"""Drop cached auxiliary clients for a provider so fresh creds are used."""
|
||||
normalized = _normalize_aux_provider(provider)
|
||||
@@ -1817,14 +1560,8 @@ def _resolve_auto(main_runtime: Optional[Dict[str, Any]] = None) -> Tuple[Option
|
||||
# below — never look up auth env vars ad-hoc.
|
||||
|
||||
|
||||
def _to_async_client(sync_client, model: str, is_vision: bool = False):
|
||||
"""Convert a sync client to its async counterpart, preserving Codex routing.
|
||||
|
||||
When ``is_vision=True`` and the underlying base URL is Copilot, the
|
||||
resulting async client carries the ``Copilot-Vision-Request: true``
|
||||
header so the request is routed to Copilot's vision-capable
|
||||
infrastructure (otherwise vision payloads silently time out).
|
||||
"""
|
||||
def _to_async_client(sync_client, model: str):
|
||||
"""Convert a sync client to its async counterpart, preserving Codex routing."""
|
||||
from openai import AsyncOpenAI
|
||||
|
||||
if isinstance(sync_client, CodexAuxiliaryClient):
|
||||
@@ -1853,11 +1590,9 @@ def _to_async_client(sync_client, model: str, is_vision: bool = False):
|
||||
if base_url_host_matches(sync_base_url, "openrouter.ai"):
|
||||
async_kwargs["default_headers"] = dict(_OR_HEADERS)
|
||||
elif base_url_host_matches(sync_base_url, "api.githubcopilot.com"):
|
||||
from hermes_cli.copilot_auth import copilot_request_headers
|
||||
from hermes_cli.models import copilot_default_headers
|
||||
|
||||
async_kwargs["default_headers"] = copilot_request_headers(
|
||||
is_agent_turn=True, is_vision=is_vision
|
||||
)
|
||||
async_kwargs["default_headers"] = copilot_default_headers()
|
||||
elif base_url_host_matches(sync_base_url, "api.kimi.com"):
|
||||
async_kwargs["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
|
||||
return AsyncOpenAI(**async_kwargs), model
|
||||
@@ -1884,7 +1619,6 @@ def resolve_provider_client(
|
||||
explicit_api_key: str = None,
|
||||
api_mode: str = None,
|
||||
main_runtime: Optional[Dict[str, Any]] = None,
|
||||
is_vision: bool = False,
|
||||
) -> Tuple[Optional[Any], Optional[str]]:
|
||||
"""Central router: given a provider name and optional model, return a
|
||||
configured client with the correct auth, base URL, and API format.
|
||||
@@ -1942,20 +1676,8 @@ def resolve_provider_client(
|
||||
return True
|
||||
return False
|
||||
|
||||
def _wrap_if_needed(client_obj, final_model_str: str, base_url_str: str = "",
|
||||
api_key_str: str = ""):
|
||||
"""Wrap a plain OpenAI client in the correct transport adapter.
|
||||
|
||||
Handles two cases:
|
||||
- ``CodexAuxiliaryClient`` when the endpoint needs the Responses API
|
||||
(explicit ``api_mode=codex_responses`` or api.openai.com + codex
|
||||
model name).
|
||||
- ``AnthropicAuxiliaryClient`` when the endpoint speaks Anthropic
|
||||
Messages (explicit ``api_mode=anthropic_messages``, any ``/anthropic``
|
||||
suffix, ``api.kimi.com/coding``, or ``api.anthropic.com``).
|
||||
|
||||
Clients that are already specialized wrappers pass through unchanged.
|
||||
"""
|
||||
def _wrap_if_needed(client_obj, final_model_str: str, base_url_str: str = ""):
|
||||
"""Wrap a plain OpenAI client in CodexAuxiliaryClient if Responses API is needed."""
|
||||
if _needs_codex_wrap(client_obj, base_url_str, final_model_str):
|
||||
logger.debug(
|
||||
"resolve_provider_client: wrapping client in CodexAuxiliaryClient "
|
||||
@@ -1963,11 +1685,7 @@ def resolve_provider_client(
|
||||
api_mode or "auto-detected", final_model_str,
|
||||
base_url_str[:60] if base_url_str else "")
|
||||
return CodexAuxiliaryClient(client_obj, final_model_str)
|
||||
# Anthropic-wire endpoints: rewrap plain OpenAI clients so
|
||||
# chat.completions.create() is translated to /v1/messages.
|
||||
return _maybe_wrap_anthropic(
|
||||
client_obj, final_model_str, api_key_str, base_url_str, api_mode,
|
||||
)
|
||||
return client_obj
|
||||
|
||||
# ── Auto: try all providers in priority order ────────────────────
|
||||
if provider == "auto":
|
||||
@@ -1984,7 +1702,7 @@ def resolve_provider_client(
|
||||
"auxiliary provider (using %r instead)", model, resolved)
|
||||
model = None
|
||||
final_model = model or resolved
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
# ── OpenRouter ───────────────────────────────────────────────────
|
||||
@@ -1997,7 +1715,7 @@ def resolve_provider_client(
|
||||
)
|
||||
return None, None
|
||||
final_model = _normalize_resolved_model(model or default, provider)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
# ── Nous Portal (OAuth) ──────────────────────────────────────────
|
||||
@@ -2014,7 +1732,7 @@ def resolve_provider_client(
|
||||
"but Nous Portal not configured (run: hermes auth)")
|
||||
return None, None
|
||||
final_model = _normalize_resolved_model(model or default, provider)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
# ── OpenAI Codex (OAuth → Responses API) ─────────────────────────
|
||||
@@ -2041,13 +1759,13 @@ def resolve_provider_client(
|
||||
"but no Codex OAuth token found (run: hermes model)")
|
||||
return None, None
|
||||
final_model = _normalize_resolved_model(model or default, provider)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
# ── Custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY) ───────────
|
||||
if provider == "custom":
|
||||
if explicit_base_url:
|
||||
custom_base = _to_openai_base_url(explicit_base_url).strip()
|
||||
custom_base = explicit_base_url.strip()
|
||||
custom_key = (
|
||||
(explicit_api_key or "").strip()
|
||||
or os.getenv("OPENAI_API_KEY", "").strip()
|
||||
@@ -2060,23 +1778,18 @@ def resolve_provider_client(
|
||||
)
|
||||
return None, None
|
||||
final_model = _normalize_resolved_model(
|
||||
model or (main_runtime.get("model") if main_runtime else None) or "gpt-4o-mini",
|
||||
model or _read_main_model() or "gpt-4o-mini",
|
||||
provider,
|
||||
)
|
||||
extra = {}
|
||||
_clean_base, _dq = _extract_url_query_params(custom_base)
|
||||
if _dq:
|
||||
extra["default_query"] = _dq
|
||||
if base_url_host_matches(custom_base, "api.kimi.com"):
|
||||
extra["default_headers"] = {"User-Agent": "claude-code/0.1.0"}
|
||||
elif base_url_host_matches(custom_base, "api.githubcopilot.com"):
|
||||
from hermes_cli.copilot_auth import copilot_request_headers
|
||||
extra["default_headers"] = copilot_request_headers(
|
||||
is_agent_turn=True, is_vision=is_vision
|
||||
)
|
||||
client = OpenAI(api_key=custom_key, base_url=_clean_base, **extra)
|
||||
client = _wrap_if_needed(client, final_model, custom_base, custom_key)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
from hermes_cli.models import copilot_default_headers
|
||||
extra["default_headers"] = copilot_default_headers()
|
||||
client = OpenAI(api_key=custom_key, base_url=custom_base, **extra)
|
||||
client = _wrap_if_needed(client, final_model, custom_base)
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
# Try custom first, then codex, then API-key providers
|
||||
for try_fn in (_try_custom_endpoint, _try_codex,
|
||||
@@ -2085,9 +1798,8 @@ def resolve_provider_client(
|
||||
if client is not None:
|
||||
final_model = _normalize_resolved_model(model or default, provider)
|
||||
_cbase = str(getattr(client, "base_url", "") or "")
|
||||
_ckey = str(getattr(client, "api_key", "") or "")
|
||||
client = _wrap_if_needed(client, final_model, _cbase, _ckey)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
client = _wrap_if_needed(client, final_model, _cbase)
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
logger.warning("resolve_provider_client: custom/main requested "
|
||||
"but no endpoint credentials found")
|
||||
@@ -2109,23 +1821,9 @@ def resolve_provider_client(
|
||||
entry_api_mode = (api_mode or custom_entry.get("api_mode") or "").strip()
|
||||
if custom_base:
|
||||
final_model = _normalize_resolved_model(
|
||||
model
|
||||
or custom_entry.get("model")
|
||||
or (main_runtime.get("model") if main_runtime else None)
|
||||
or _read_main_model()
|
||||
or "gpt-4o-mini",
|
||||
model or custom_entry.get("model") or _read_main_model() or "gpt-4o-mini",
|
||||
provider,
|
||||
)
|
||||
# anthropic_messages talks to the /anthropic surface directly;
|
||||
# OpenAI-wire paths (chat_completions / codex_responses) need the
|
||||
# /v1 equivalent. Rewrite only on the OpenAI-wire path so the
|
||||
# Anthropic fallback SDK still sees the original URL.
|
||||
if entry_api_mode == "anthropic_messages":
|
||||
openai_base = custom_base
|
||||
else:
|
||||
openai_base = _to_openai_base_url(custom_base)
|
||||
_clean_base2, _dq2 = _extract_url_query_params(openai_base)
|
||||
_extra2 = {"default_query": _dq2} if _dq2 else {}
|
||||
logger.debug(
|
||||
"resolve_provider_client: named custom provider %r (%s, api_mode=%s)",
|
||||
provider, final_model, entry_api_mode or "chat_completions")
|
||||
@@ -2143,13 +1841,8 @@ def resolve_provider_client(
|
||||
"installed — falling back to OpenAI-wire.",
|
||||
provider,
|
||||
)
|
||||
# Fallback went OpenAI-wire after all — redo the query
|
||||
# extraction against the rewritten /v1 URL.
|
||||
_fallback_base = _to_openai_base_url(custom_base)
|
||||
_fb_clean, _fb_dq = _extract_url_query_params(_fallback_base)
|
||||
_fb_extra = {"default_query": _fb_dq} if _fb_dq else {}
|
||||
client = OpenAI(api_key=custom_key, base_url=_fb_clean, **_fb_extra)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
client = OpenAI(api_key=custom_key, base_url=custom_base)
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
sync_anthropic = AnthropicAuxiliaryClient(
|
||||
real_client, final_model, custom_key, custom_base, is_oauth=False,
|
||||
@@ -2157,7 +1850,7 @@ def resolve_provider_client(
|
||||
if async_mode:
|
||||
return AsyncAnthropicAuxiliaryClient(sync_anthropic), final_model
|
||||
return sync_anthropic, final_model
|
||||
client = OpenAI(api_key=custom_key, base_url=_clean_base2, **_extra2)
|
||||
client = OpenAI(api_key=custom_key, base_url=custom_base)
|
||||
# codex_responses or inherited auto-detect (via _wrap_if_needed).
|
||||
# _wrap_if_needed reads the closed-over `api_mode` (the task-level
|
||||
# override). Named-provider entry api_mode=codex_responses also
|
||||
@@ -2167,8 +1860,8 @@ def resolve_provider_client(
|
||||
):
|
||||
client = CodexAuxiliaryClient(client, final_model)
|
||||
else:
|
||||
client = _wrap_if_needed(client, final_model, openai_base, custom_key)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
client = _wrap_if_needed(client, final_model, custom_base)
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
logger.warning(
|
||||
"resolve_provider_client: named custom provider %r has no base_url",
|
||||
@@ -2200,7 +1893,7 @@ def resolve_provider_client(
|
||||
logger.warning("resolve_provider_client: anthropic requested but no Anthropic credentials found")
|
||||
return None, None
|
||||
final_model = _normalize_resolved_model(model or default_model, provider)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode else (client, final_model))
|
||||
return (_to_async_client(client, final_model) if async_mode else (client, final_model))
|
||||
|
||||
creds = resolve_api_key_provider_credentials(provider)
|
||||
api_key = str(creds.get("api_key", "")).strip()
|
||||
@@ -2226,7 +1919,7 @@ def resolve_provider_client(
|
||||
if is_native_gemini_base_url(base_url):
|
||||
client = GeminiNativeClient(api_key=api_key, base_url=base_url)
|
||||
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
# Provider-specific headers
|
||||
@@ -2234,11 +1927,9 @@ def resolve_provider_client(
|
||||
if base_url_host_matches(base_url, "api.kimi.com"):
|
||||
headers["User-Agent"] = "claude-code/0.1.0"
|
||||
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
|
||||
from hermes_cli.copilot_auth import copilot_request_headers
|
||||
from hermes_cli.models import copilot_default_headers
|
||||
|
||||
headers.update(copilot_request_headers(
|
||||
is_agent_turn=True, is_vision=is_vision
|
||||
))
|
||||
headers.update(copilot_default_headers())
|
||||
client = OpenAI(api_key=api_key, base_url=base_url,
|
||||
**({"default_headers": headers} if headers else {}))
|
||||
|
||||
@@ -2260,24 +1951,16 @@ def resolve_provider_client(
|
||||
|
||||
# Honor api_mode for any API-key provider (e.g. direct OpenAI with
|
||||
# codex-family models). The copilot-specific wrapping above handles
|
||||
# copilot; this covers the general case (#6800). Also rewraps
|
||||
# Anthropic-wire endpoints (Kimi Coding Plan api.kimi.com/coding,
|
||||
# /anthropic-suffixed gateways) so named providers like kimi-coding
|
||||
# land on the right transport without needing per-provider branches.
|
||||
client = _wrap_if_needed(client, final_model, base_url, api_key)
|
||||
# copilot; this covers the general case (#6800).
|
||||
client = _wrap_if_needed(client, final_model, base_url)
|
||||
|
||||
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
if pconfig.auth_type == "external_process":
|
||||
creds = resolve_external_process_provider_credentials(provider)
|
||||
final_model = _normalize_resolved_model(
|
||||
model
|
||||
or (main_runtime.get("model") if main_runtime else None)
|
||||
or _read_main_model(),
|
||||
provider,
|
||||
)
|
||||
final_model = _normalize_resolved_model(model or _read_main_model(), provider)
|
||||
if provider == "copilot-acp":
|
||||
api_key = str(creds.get("api_key", "")).strip()
|
||||
base_url = str(creds.get("base_url", "")).strip()
|
||||
@@ -2304,45 +1987,12 @@ def resolve_provider_client(
|
||||
args=args,
|
||||
)
|
||||
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
return (_to_async_client(client, final_model) if async_mode
|
||||
else (client, final_model))
|
||||
logger.warning("resolve_provider_client: external-process provider %s not "
|
||||
"directly supported", provider)
|
||||
return None, None
|
||||
|
||||
elif pconfig.auth_type == "aws_sdk":
|
||||
# AWS SDK providers (Bedrock) — use the Anthropic Bedrock client via
|
||||
# boto3's credential chain (IAM roles, SSO, env vars, instance metadata).
|
||||
try:
|
||||
from agent.bedrock_adapter import has_aws_credentials, resolve_bedrock_region
|
||||
from agent.anthropic_adapter import build_anthropic_bedrock_client
|
||||
except ImportError:
|
||||
logger.warning("resolve_provider_client: bedrock requested but "
|
||||
"boto3 or anthropic SDK not installed")
|
||||
return None, None
|
||||
|
||||
if not has_aws_credentials():
|
||||
logger.debug("resolve_provider_client: bedrock requested but "
|
||||
"no AWS credentials found")
|
||||
return None, None
|
||||
|
||||
region = resolve_bedrock_region()
|
||||
default_model = "anthropic.claude-haiku-4-5-20251001-v1:0"
|
||||
final_model = _normalize_resolved_model(model or default_model, provider)
|
||||
try:
|
||||
real_client = build_anthropic_bedrock_client(region)
|
||||
except ImportError as exc:
|
||||
logger.warning("resolve_provider_client: cannot create Bedrock "
|
||||
"client: %s", exc)
|
||||
return None, None
|
||||
client = AnthropicAuxiliaryClient(
|
||||
real_client, final_model, api_key="aws-sdk",
|
||||
base_url=f"https://bedrock-runtime.{region}.amazonaws.com",
|
||||
)
|
||||
logger.debug("resolve_provider_client: bedrock (%s, %s)", final_model, region)
|
||||
return (_to_async_client(client, final_model, is_vision=is_vision) if async_mode
|
||||
else (client, final_model))
|
||||
|
||||
elif pconfig.auth_type in ("oauth_device_code", "oauth_external"):
|
||||
# OAuth providers — route through their specific try functions
|
||||
if provider == "nous":
|
||||
@@ -2415,13 +2065,8 @@ def _normalize_vision_provider(provider: Optional[str]) -> str:
|
||||
return _normalize_aux_provider(provider)
|
||||
|
||||
|
||||
def _resolve_strict_vision_backend(
|
||||
provider: str,
|
||||
model: Optional[str] = None,
|
||||
) -> Tuple[Optional[Any], Optional[str]]:
|
||||
def _resolve_strict_vision_backend(provider: str) -> Tuple[Optional[Any], Optional[str]]:
|
||||
provider = _normalize_vision_provider(provider)
|
||||
if provider == "copilot":
|
||||
return resolve_provider_client("copilot", model, is_vision=True)
|
||||
if provider == "openrouter":
|
||||
return _try_openrouter()
|
||||
if provider == "nous":
|
||||
@@ -2489,7 +2134,7 @@ def resolve_vision_provider_client(
|
||||
return resolved_provider, None, None
|
||||
final_model = resolved_model or default_model
|
||||
if async_mode:
|
||||
async_client, async_model = _to_async_client(sync_client, final_model, is_vision=True)
|
||||
async_client, async_model = _to_async_client(sync_client, final_model)
|
||||
return resolved_provider, async_client, async_model
|
||||
return resolved_provider, sync_client, final_model
|
||||
|
||||
@@ -2521,11 +2166,8 @@ def resolve_vision_provider_client(
|
||||
main_provider = _read_main_provider()
|
||||
main_model = _read_main_model()
|
||||
if main_provider and main_provider not in ("auto", ""):
|
||||
vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
|
||||
if main_provider == "nous":
|
||||
sync_client, default_model = _resolve_strict_vision_backend(
|
||||
main_provider, vision_model
|
||||
)
|
||||
sync_client, default_model = _resolve_strict_vision_backend(main_provider)
|
||||
if sync_client is not None:
|
||||
logger.info(
|
||||
"Vision auto-detect: using main provider %s (%s)",
|
||||
@@ -2533,10 +2175,10 @@ def resolve_vision_provider_client(
|
||||
)
|
||||
return _finalize(main_provider, sync_client, default_model)
|
||||
else:
|
||||
vision_model = _PROVIDER_VISION_MODELS.get(main_provider, main_model)
|
||||
rpc_client, rpc_model = resolve_provider_client(
|
||||
main_provider, vision_model,
|
||||
api_mode=resolved_api_mode,
|
||||
is_vision=True)
|
||||
api_mode=resolved_api_mode)
|
||||
if rpc_client is not None:
|
||||
logger.info(
|
||||
"Vision auto-detect: using main provider %s (%s)",
|
||||
@@ -2558,14 +2200,11 @@ def resolve_vision_provider_client(
|
||||
return None, None, None
|
||||
|
||||
if requested in _VISION_AUTO_PROVIDER_ORDER:
|
||||
sync_client, default_model = _resolve_strict_vision_backend(
|
||||
requested, resolved_model
|
||||
)
|
||||
sync_client, default_model = _resolve_strict_vision_backend(requested)
|
||||
return _finalize(requested, sync_client, default_model)
|
||||
|
||||
client, final_model = _get_cached_client(requested, resolved_model, async_mode,
|
||||
api_mode=resolved_api_mode,
|
||||
is_vision=True)
|
||||
api_mode=resolved_api_mode)
|
||||
if client is None:
|
||||
return requested, None, None
|
||||
return requested, client, final_model
|
||||
@@ -2629,11 +2268,10 @@ def _client_cache_key(
|
||||
api_key: Optional[str] = None,
|
||||
api_mode: Optional[str] = None,
|
||||
main_runtime: Optional[Dict[str, Any]] = None,
|
||||
is_vision: bool = False,
|
||||
) -> tuple:
|
||||
runtime = _normalize_main_runtime(main_runtime)
|
||||
runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
|
||||
return (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key, is_vision)
|
||||
return (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
|
||||
|
||||
|
||||
def _store_cached_client(cache_key: tuple, client: Any, default_model: Optional[str], *, bound_loop: Any = None) -> None:
|
||||
@@ -2659,7 +2297,6 @@ def _refresh_nous_auxiliary_client(
|
||||
api_key: Optional[str] = None,
|
||||
api_mode: Optional[str] = None,
|
||||
main_runtime: Optional[Dict[str, Any]] = None,
|
||||
is_vision: bool = False,
|
||||
) -> Tuple[Optional[Any], Optional[str]]:
|
||||
"""Refresh Nous runtime creds, rebuild the client, and replace the cache entry."""
|
||||
runtime = _resolve_nous_runtime_api(force_refresh=True)
|
||||
@@ -2677,7 +2314,7 @@ def _refresh_nous_auxiliary_client(
|
||||
current_loop = _aio.get_event_loop()
|
||||
except RuntimeError:
|
||||
pass
|
||||
client, final_model = _to_async_client(sync_client, final_model or "", is_vision=is_vision)
|
||||
client, final_model = _to_async_client(sync_client, final_model or "")
|
||||
else:
|
||||
client = sync_client
|
||||
|
||||
@@ -2688,7 +2325,6 @@ def _refresh_nous_auxiliary_client(
|
||||
api_key=api_key,
|
||||
api_mode=api_mode,
|
||||
main_runtime=main_runtime,
|
||||
is_vision=is_vision,
|
||||
)
|
||||
_store_cached_client(cache_key, client, final_model, bound_loop=current_loop)
|
||||
return client, final_model
|
||||
@@ -2800,19 +2436,12 @@ def _is_openrouter_client(client: Any) -> bool:
|
||||
return False
|
||||
|
||||
|
||||
def _cached_client_accepts_slash_models(client: Any, cached_default: Optional[str]) -> bool:
|
||||
"""Best-effort check for cached clients that accept ``vendor/model`` IDs."""
|
||||
if _is_openrouter_client(client):
|
||||
return True
|
||||
return bool(cached_default and "/" in cached_default)
|
||||
|
||||
|
||||
def _compat_model(client: Any, model: Optional[str], cached_default: Optional[str]) -> Optional[str]:
|
||||
"""Keep slash-bearing model IDs only for cached clients that support them.
|
||||
"""Drop OpenRouter-format model slugs (with '/') for non-OpenRouter clients.
|
||||
|
||||
Mirrors the guard in resolve_provider_client() which is skipped on cache hits.
|
||||
"""
|
||||
if model and "/" in model and not _cached_client_accepts_slash_models(client, cached_default):
|
||||
if model and "/" in model and not _is_openrouter_client(client):
|
||||
return cached_default
|
||||
return model or cached_default
|
||||
|
||||
@@ -2825,7 +2454,6 @@ def _get_cached_client(
|
||||
api_key: str = None,
|
||||
api_mode: str = None,
|
||||
main_runtime: Optional[Dict[str, Any]] = None,
|
||||
is_vision: bool = False,
|
||||
) -> Tuple[Optional[Any], Optional[str]]:
|
||||
"""Get or create a cached client for the given provider.
|
||||
|
||||
@@ -2862,7 +2490,6 @@ def _get_cached_client(
|
||||
api_key=api_key,
|
||||
api_mode=api_mode,
|
||||
main_runtime=main_runtime,
|
||||
is_vision=is_vision,
|
||||
)
|
||||
with _client_cache_lock:
|
||||
if cache_key in _client_cache:
|
||||
@@ -2894,7 +2521,6 @@ def _get_cached_client(
|
||||
explicit_api_key=api_key,
|
||||
api_mode=api_mode,
|
||||
main_runtime=runtime,
|
||||
is_vision=is_vision,
|
||||
)
|
||||
if client is not None:
|
||||
# For async clients, remember which loop they were created on so we
|
||||
@@ -3101,8 +2727,8 @@ def _build_call_kwargs(
|
||||
temperature = fixed_temperature
|
||||
|
||||
# Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
|
||||
# drop here so auxiliary callers that hardcode temperature (e.g. 0 on
|
||||
# structured-JSON extraction) don't 400 the moment
|
||||
# drop here so auxiliary callers that hardcode temperature (e.g. 0.3 on
|
||||
# flush_memories, 0 on structured-JSON extraction) don't 400 the moment
|
||||
# the aux model is flipped to 4.7.
|
||||
if temperature is not None:
|
||||
from agent.anthropic_adapter import _forbids_sampling_params
|
||||
@@ -3190,7 +2816,7 @@ def call_llm(
|
||||
|
||||
Args:
|
||||
task: Auxiliary task name ("compression", "vision", "web_extract",
|
||||
"session_search", "skills_hub", "mcp", "title_generation").
|
||||
"session_search", "skills_hub", "mcp", "flush_memories").
|
||||
Reads provider:model from config/env. Ignored if provider is set.
|
||||
provider: Explicit provider override.
|
||||
model: Explicit model override.
|
||||
@@ -3293,45 +2919,13 @@ def call_llm(
|
||||
if _is_anthropic_compat_endpoint(resolved_provider, _client_base):
|
||||
kwargs["messages"] = _convert_openai_images_to_anthropic(kwargs["messages"])
|
||||
|
||||
# Handle unsupported temperature, max_tokens vs max_completion_tokens retry,
|
||||
# then payment fallback.
|
||||
# Handle max_tokens vs max_completion_tokens retry, then payment fallback.
|
||||
try:
|
||||
return _validate_llm_response(
|
||||
client.chat.completions.create(**kwargs), task)
|
||||
except Exception as first_err:
|
||||
if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
|
||||
retry_kwargs = dict(kwargs)
|
||||
retry_kwargs.pop("temperature", None)
|
||||
logger.info(
|
||||
"Auxiliary %s: provider rejected temperature; retrying once without it",
|
||||
task or "call",
|
||||
)
|
||||
try:
|
||||
return _validate_llm_response(
|
||||
client.chat.completions.create(**retry_kwargs), task)
|
||||
except Exception as retry_err:
|
||||
retry_err_str = str(retry_err)
|
||||
# If retry still fails, fall through to the max_tokens /
|
||||
# payment / auth chains below using the temperature-stripped
|
||||
# kwargs. Re-raise only if the retry hit something those
|
||||
# chains won't handle.
|
||||
if not (
|
||||
_is_payment_error(retry_err)
|
||||
or _is_connection_error(retry_err)
|
||||
or _is_auth_error(retry_err)
|
||||
or "max_tokens" in retry_err_str
|
||||
or "unsupported_parameter" in retry_err_str
|
||||
):
|
||||
raise
|
||||
first_err = retry_err
|
||||
kwargs = retry_kwargs
|
||||
|
||||
err_str = str(first_err)
|
||||
if max_tokens is not None and (
|
||||
"max_tokens" in err_str
|
||||
or "unsupported_parameter" in err_str
|
||||
or _is_unsupported_parameter_error(first_err, "max_tokens")
|
||||
):
|
||||
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
|
||||
kwargs.pop("max_tokens", None)
|
||||
kwargs["max_completion_tokens"] = max_tokens
|
||||
try:
|
||||
@@ -3358,7 +2952,6 @@ def call_llm(
|
||||
api_key=resolved_api_key,
|
||||
api_mode=resolved_api_mode,
|
||||
main_runtime=main_runtime,
|
||||
is_vision=(task == "vision"),
|
||||
)
|
||||
if refreshed_client is not None:
|
||||
logger.info("Auxiliary %s: refreshed Nous runtime credentials after 401, retrying",
|
||||
@@ -3595,35 +3188,8 @@ async def async_call_llm(
|
||||
return _validate_llm_response(
|
||||
await client.chat.completions.create(**kwargs), task)
|
||||
except Exception as first_err:
|
||||
if "temperature" in kwargs and _is_unsupported_temperature_error(first_err):
|
||||
retry_kwargs = dict(kwargs)
|
||||
retry_kwargs.pop("temperature", None)
|
||||
logger.info(
|
||||
"Auxiliary %s (async): provider rejected temperature; retrying once without it",
|
||||
task or "call",
|
||||
)
|
||||
try:
|
||||
return _validate_llm_response(
|
||||
await client.chat.completions.create(**retry_kwargs), task)
|
||||
except Exception as retry_err:
|
||||
retry_err_str = str(retry_err)
|
||||
if not (
|
||||
_is_payment_error(retry_err)
|
||||
or _is_connection_error(retry_err)
|
||||
or _is_auth_error(retry_err)
|
||||
or "max_tokens" in retry_err_str
|
||||
or "unsupported_parameter" in retry_err_str
|
||||
):
|
||||
raise
|
||||
first_err = retry_err
|
||||
kwargs = retry_kwargs
|
||||
|
||||
err_str = str(first_err)
|
||||
if max_tokens is not None and (
|
||||
"max_tokens" in err_str
|
||||
or "unsupported_parameter" in err_str
|
||||
or _is_unsupported_parameter_error(first_err, "max_tokens")
|
||||
):
|
||||
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
|
||||
kwargs.pop("max_tokens", None)
|
||||
kwargs["max_completion_tokens"] = max_tokens
|
||||
try:
|
||||
@@ -3649,7 +3215,6 @@ async def async_call_llm(
|
||||
base_url=resolved_base_url,
|
||||
api_key=resolved_api_key,
|
||||
api_mode=resolved_api_mode,
|
||||
is_vision=(task == "vision"),
|
||||
)
|
||||
if refreshed_client is not None:
|
||||
logger.info("Auxiliary %s (async): refreshed Nous runtime credentials after 401, retrying",
|
||||
@@ -3718,9 +3283,7 @@ async def async_call_llm(
|
||||
extra_body=effective_extra_body,
|
||||
base_url=str(getattr(fb_client, "base_url", "") or ""))
|
||||
# Convert sync fallback client to async
|
||||
async_fb, async_fb_model = _to_async_client(
|
||||
fb_client, fb_model or "", is_vision=(task == "vision")
|
||||
)
|
||||
async_fb, async_fb_model = _to_async_client(fb_client, fb_model or "")
|
||||
if async_fb_model and async_fb_model != fb_kwargs.get("model"):
|
||||
fb_kwargs["model"] = async_fb_model
|
||||
return _validate_llm_response(
|
||||
|
||||
+5
-171
@@ -87,114 +87,6 @@ def reset_client_cache():
|
||||
_bedrock_control_client_cache.clear()
|
||||
|
||||
|
||||
def invalidate_runtime_client(region: str) -> bool:
|
||||
"""Evict the cached ``bedrock-runtime`` client for a single region.
|
||||
|
||||
Per-region counterpart to :func:`reset_client_cache`. Used by the converse
|
||||
call wrappers to discard clients whose underlying HTTP connection has
|
||||
gone stale, so the next call allocates a fresh client (with a fresh
|
||||
connection pool) instead of reusing a dead socket.
|
||||
|
||||
Returns True if a cached entry was evicted, False if the region was not
|
||||
cached.
|
||||
"""
|
||||
existed = region in _bedrock_runtime_client_cache
|
||||
_bedrock_runtime_client_cache.pop(region, None)
|
||||
return existed
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Stale-connection detection
|
||||
# ---------------------------------------------------------------------------
|
||||
#
|
||||
# boto3 caches its HTTPS connection pool inside the client object. When a
|
||||
# pooled connection is killed out from under us (NAT timeout, VPN flap,
|
||||
# server-side TCP RST, proxy idle cull, etc.), the next use surfaces as
|
||||
# one of a handful of low-level exceptions — most commonly
|
||||
# ``botocore.exceptions.ConnectionClosedError`` or
|
||||
# ``urllib3.exceptions.ProtocolError``. urllib3 also trips an internal
|
||||
# ``assert`` in a couple of paths (connection pool state checks, chunked
|
||||
# response readers) which bubbles up as a bare ``AssertionError`` with an
|
||||
# empty ``str(exc)``.
|
||||
#
|
||||
# In all of these cases the client is the problem, not the request: retrying
|
||||
# with the same cached client reproduces the failure until the process
|
||||
# restarts. The fix is to evict the region's cached client so the next
|
||||
# attempt builds a new one.
|
||||
|
||||
_STALE_LIB_MODULE_PREFIXES = (
|
||||
"urllib3.",
|
||||
"botocore.",
|
||||
"boto3.",
|
||||
)
|
||||
|
||||
|
||||
def _traceback_frames_modules(exc: BaseException):
|
||||
"""Yield ``__name__``-style module strings for each frame in exc's traceback."""
|
||||
tb = getattr(exc, "__traceback__", None)
|
||||
while tb is not None:
|
||||
frame = tb.tb_frame
|
||||
module = frame.f_globals.get("__name__", "")
|
||||
yield module or ""
|
||||
tb = tb.tb_next
|
||||
|
||||
|
||||
def is_stale_connection_error(exc: BaseException) -> bool:
|
||||
"""Return True if ``exc`` indicates a dead/stale Bedrock HTTP connection.
|
||||
|
||||
Matches:
|
||||
* ``botocore.exceptions.ConnectionError`` and subclasses
|
||||
(``ConnectionClosedError``, ``EndpointConnectionError``,
|
||||
``ReadTimeoutError``, ``ConnectTimeoutError``).
|
||||
* ``urllib3.exceptions.ProtocolError`` / ``NewConnectionError`` /
|
||||
``ConnectionError`` (best-effort import — urllib3 is a transitive
|
||||
dependency of botocore so it is always available in practice).
|
||||
* Bare ``AssertionError`` raised from a frame inside urllib3, botocore,
|
||||
or boto3. These are internal-invariant failures (typically triggered
|
||||
by corrupted connection-pool state after a dropped socket) and are
|
||||
recoverable by swapping the client.
|
||||
|
||||
Non-library ``AssertionError``s (from application code or tests) are
|
||||
intentionally not matched — only library-internal asserts signal stale
|
||||
connection state.
|
||||
"""
|
||||
# botocore: the canonical signal — HTTPClientError is the umbrella for
|
||||
# ConnectionClosedError, ReadTimeoutError, EndpointConnectionError,
|
||||
# ConnectTimeoutError, and ProxyConnectionError. ConnectionError covers
|
||||
# the same family via a different branch of the hierarchy.
|
||||
try:
|
||||
from botocore.exceptions import (
|
||||
ConnectionError as BotoConnectionError,
|
||||
HTTPClientError,
|
||||
)
|
||||
botocore_errors: tuple = (BotoConnectionError, HTTPClientError)
|
||||
except ImportError: # pragma: no cover — botocore always present with boto3
|
||||
botocore_errors = ()
|
||||
if botocore_errors and isinstance(exc, botocore_errors):
|
||||
return True
|
||||
|
||||
# urllib3: low-level transport failures
|
||||
try:
|
||||
from urllib3.exceptions import (
|
||||
ProtocolError,
|
||||
NewConnectionError,
|
||||
ConnectionError as Urllib3ConnectionError,
|
||||
)
|
||||
urllib3_errors = (ProtocolError, NewConnectionError, Urllib3ConnectionError)
|
||||
except ImportError: # pragma: no cover
|
||||
urllib3_errors = ()
|
||||
if urllib3_errors and isinstance(exc, urllib3_errors):
|
||||
return True
|
||||
|
||||
# Library-internal AssertionError (urllib3 / botocore / boto3)
|
||||
if isinstance(exc, AssertionError):
|
||||
for module in _traceback_frames_modules(exc):
|
||||
if any(module.startswith(prefix) for prefix in _STALE_LIB_MODULE_PREFIXES):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# AWS credential detection
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -291,52 +183,14 @@ def has_aws_credentials(env: Optional[Dict[str, str]] = None) -> bool:
|
||||
def resolve_bedrock_region(env: Optional[Dict[str, str]] = None) -> str:
|
||||
"""Resolve the AWS region for Bedrock API calls.
|
||||
|
||||
Priority:
|
||||
1. AWS_REGION env var
|
||||
2. AWS_DEFAULT_REGION env var
|
||||
3. boto3/botocore configured region (from ~/.aws/config or SSO profile)
|
||||
4. us-east-1 (hard fallback)
|
||||
|
||||
The boto3 fallback is critical for EU/AP users who configure their region
|
||||
in ~/.aws/config via a named profile rather than env vars — without it,
|
||||
live model discovery would always return us.* profile IDs regardless of
|
||||
the user's actual region.
|
||||
Priority: AWS_REGION → AWS_DEFAULT_REGION → us-east-1 (fallback).
|
||||
"""
|
||||
env = env if env is not None else os.environ
|
||||
explicit = (
|
||||
return (
|
||||
env.get("AWS_REGION", "").strip()
|
||||
or env.get("AWS_DEFAULT_REGION", "").strip()
|
||||
or "us-east-1"
|
||||
)
|
||||
if explicit:
|
||||
return explicit
|
||||
try:
|
||||
import botocore.session
|
||||
region = botocore.session.get_session().get_config_variable("region")
|
||||
if region:
|
||||
return region
|
||||
except Exception:
|
||||
pass
|
||||
return "us-east-1"
|
||||
|
||||
|
||||
def bedrock_model_ids_or_none() -> Optional[List[str]]:
|
||||
"""Live-discover Bedrock model IDs for the active region.
|
||||
|
||||
Returns a list of model ID strings if discovery succeeds and yields
|
||||
at least one model, or ``None`` on failure / empty result. Callers
|
||||
should fall back to the static curated list when ``None`` is returned.
|
||||
|
||||
This helper consolidates the discover → extract-ids → fallback
|
||||
pattern that was previously duplicated across ``provider_model_ids``,
|
||||
``list_authenticated_providers`` section 2, and section 3.
|
||||
"""
|
||||
try:
|
||||
discovered = discover_bedrock_models(resolve_bedrock_region())
|
||||
if discovered:
|
||||
return [m["id"] for m in discovered]
|
||||
except Exception:
|
||||
pass
|
||||
return None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -933,17 +787,7 @@ def call_converse(
|
||||
guardrail_config=guardrail_config,
|
||||
)
|
||||
|
||||
try:
|
||||
response = client.converse(**kwargs)
|
||||
except Exception as exc:
|
||||
if is_stale_connection_error(exc):
|
||||
logger.warning(
|
||||
"bedrock: stale-connection error on converse(region=%s, model=%s): "
|
||||
"%s — evicting cached client so the next call reconnects.",
|
||||
region, model, type(exc).__name__,
|
||||
)
|
||||
invalidate_runtime_client(region)
|
||||
raise
|
||||
response = client.converse(**kwargs)
|
||||
return normalize_converse_response(response)
|
||||
|
||||
|
||||
@@ -975,17 +819,7 @@ def call_converse_stream(
|
||||
guardrail_config=guardrail_config,
|
||||
)
|
||||
|
||||
try:
|
||||
response = client.converse_stream(**kwargs)
|
||||
except Exception as exc:
|
||||
if is_stale_connection_error(exc):
|
||||
logger.warning(
|
||||
"bedrock: stale-connection error on converse_stream(region=%s, "
|
||||
"model=%s): %s — evicting cached client so the next call reconnects.",
|
||||
region, model, type(exc).__name__,
|
||||
)
|
||||
invalidate_runtime_client(region)
|
||||
raise
|
||||
response = client.converse_stream(**kwargs)
|
||||
return normalize_converse_stream_events(response)
|
||||
|
||||
|
||||
|
||||
@@ -23,52 +23,26 @@ from agent.prompt_builder import DEFAULT_AGENT_IDENTITY
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# Matches Codex/Harmony tool-call serialization that occasionally leaks into
|
||||
# assistant-message content when the model fails to emit a structured
|
||||
# ``function_call`` item. Accepts the common forms:
|
||||
#
|
||||
# to=functions.exec_command
|
||||
# assistant to=functions.exec_command
|
||||
# <|channel|>commentary to=functions.exec_command
|
||||
#
|
||||
# ``to=functions.<name>`` is the stable marker — the optional ``assistant`` or
|
||||
# Harmony channel prefix varies by degeneration mode. Case-insensitive to
|
||||
# cover lowercase/uppercase ``assistant`` variants.
|
||||
_TOOL_CALL_LEAK_PATTERN = re.compile(
|
||||
r"(?:^|[\s>|])to=functions\.[A-Za-z_][\w.]*",
|
||||
re.IGNORECASE,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Multimodal content helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> List[Dict[str, Any]]:
|
||||
def _chat_content_to_responses_parts(content: Any) -> List[Dict[str, Any]]:
|
||||
"""Convert chat-style multimodal content to Responses API input parts.
|
||||
|
||||
Input: ``[{"type":"text"|"image_url", ...}]`` (native OpenAI Chat format)
|
||||
Output: ``[{"type":"input_text"|"output_text"|"input_image", ...}]`` (Responses format)
|
||||
|
||||
The ``role`` parameter controls the text content type:
|
||||
- ``"user"`` (default) → ``"input_text"``
|
||||
- ``"assistant"`` → ``"output_text"``
|
||||
|
||||
The Responses API rejects ``input_text`` inside assistant messages and
|
||||
``output_text`` inside user messages, so callers MUST pass the correct
|
||||
role for the message being converted.
|
||||
Output: ``[{"type":"input_text"|"input_image", ...}]`` (Responses format)
|
||||
|
||||
Returns an empty list when ``content`` is not a list or contains no
|
||||
recognized parts — callers fall back to the string path.
|
||||
"""
|
||||
text_type = "output_text" if role == "assistant" else "input_text"
|
||||
if not isinstance(content, list):
|
||||
return []
|
||||
converted: List[Dict[str, Any]] = []
|
||||
for part in content:
|
||||
if isinstance(part, str):
|
||||
if part:
|
||||
converted.append({"type": text_type, "text": part})
|
||||
converted.append({"type": "input_text", "text": part})
|
||||
continue
|
||||
if not isinstance(part, dict):
|
||||
continue
|
||||
@@ -76,7 +50,7 @@ def _chat_content_to_responses_parts(content: Any, *, role: str = "user") -> Lis
|
||||
if ptype in {"text", "input_text", "output_text"}:
|
||||
text = part.get("text")
|
||||
if isinstance(text, str) and text:
|
||||
converted.append({"type": text_type, "text": text})
|
||||
converted.append({"type": "input_text", "text": text})
|
||||
continue
|
||||
if ptype in {"image_url", "input_image"}:
|
||||
image_ref = part.get("image_url")
|
||||
@@ -227,23 +201,6 @@ def _responses_tools(tools: Optional[List[Dict[str, Any]]] = None) -> Optional[L
|
||||
# Message format conversion
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_RESPONSE_MESSAGE_STATUSES = {"completed", "incomplete", "in_progress"}
|
||||
|
||||
|
||||
def _normalize_responses_message_status(value: Any, *, default: str = "completed") -> str:
|
||||
"""Normalize a Responses assistant message status for replay.
|
||||
|
||||
The API accepts completed/incomplete/in_progress on replayed assistant
|
||||
output messages. Preserve those exactly (modulo case/hyphen spelling) so
|
||||
incomplete Codex continuation turns don't get falsely marked completed.
|
||||
"""
|
||||
if isinstance(value, str):
|
||||
status = value.strip().lower().replace("-", "_").replace(" ", "_")
|
||||
if status in _RESPONSE_MESSAGE_STATUSES:
|
||||
return status
|
||||
return default
|
||||
|
||||
|
||||
def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
|
||||
"""Convert internal chat-style messages to Responses input items."""
|
||||
items: List[Dict[str, Any]] = []
|
||||
@@ -259,10 +216,9 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
|
||||
if role in {"user", "assistant"}:
|
||||
content = msg.get("content", "")
|
||||
if isinstance(content, list):
|
||||
content_parts = _chat_content_to_responses_parts(content, role=role)
|
||||
text_type = "output_text" if role == "assistant" else "input_text"
|
||||
content_parts = _chat_content_to_responses_parts(content)
|
||||
content_text = "".join(
|
||||
p.get("text", "") for p in content_parts if p.get("type") == text_type
|
||||
p.get("text", "") for p in content_parts if p.get("type") == "input_text"
|
||||
)
|
||||
else:
|
||||
content_parts = []
|
||||
@@ -289,57 +245,7 @@ def _chat_messages_to_responses_input(messages: List[Dict[str, Any]]) -> List[Di
|
||||
seen_item_ids.add(item_id)
|
||||
has_codex_reasoning = True
|
||||
|
||||
# Replay exact assistant message items (with id/phase) from
|
||||
# previous turns so the API can maintain prefix-cache hits.
|
||||
# OpenAI docs: "preserve and resend phase on all assistant
|
||||
# messages — dropping it can degrade performance."
|
||||
codex_message_items = msg.get("codex_message_items")
|
||||
replayed_message_items = 0
|
||||
if isinstance(codex_message_items, list):
|
||||
for raw_item in codex_message_items:
|
||||
if not isinstance(raw_item, dict):
|
||||
continue
|
||||
if raw_item.get("type") != "message" or raw_item.get("role") != "assistant":
|
||||
continue
|
||||
raw_content_parts = raw_item.get("content")
|
||||
if not isinstance(raw_content_parts, list):
|
||||
continue
|
||||
|
||||
normalized_content_parts = []
|
||||
for part in raw_content_parts:
|
||||
if not isinstance(part, dict):
|
||||
continue
|
||||
part_type = str(part.get("type") or "").strip()
|
||||
if part_type not in {"output_text", "text"}:
|
||||
continue
|
||||
text = part.get("text", "")
|
||||
if text is None:
|
||||
text = ""
|
||||
if not isinstance(text, str):
|
||||
text = str(text)
|
||||
normalized_content_parts.append({"type": "output_text", "text": text})
|
||||
|
||||
if not normalized_content_parts:
|
||||
continue
|
||||
|
||||
replay_item = {
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"status": _normalize_responses_message_status(raw_item.get("status")),
|
||||
"content": normalized_content_parts,
|
||||
}
|
||||
item_id = raw_item.get("id")
|
||||
if isinstance(item_id, str) and item_id.strip():
|
||||
replay_item["id"] = item_id.strip()
|
||||
phase = raw_item.get("phase")
|
||||
if isinstance(phase, str) and phase.strip():
|
||||
replay_item["phase"] = phase.strip()
|
||||
items.append(replay_item)
|
||||
replayed_message_items += 1
|
||||
|
||||
if replayed_message_items > 0:
|
||||
pass
|
||||
elif content_parts:
|
||||
if content_parts:
|
||||
items.append({"role": "assistant", "content": content_parts})
|
||||
elif content_text.strip():
|
||||
items.append({"role": "assistant", "content": content_text})
|
||||
@@ -499,47 +405,6 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
|
||||
normalized.append(reasoning_item)
|
||||
continue
|
||||
|
||||
if item_type == "message":
|
||||
role = item.get("role")
|
||||
if role != "assistant":
|
||||
raise ValueError(f"Codex Responses input[{idx}] message items must have role='assistant'.")
|
||||
content = item.get("content")
|
||||
if not isinstance(content, list):
|
||||
raise ValueError(f"Codex Responses input[{idx}] message item must have content list.")
|
||||
normalized_content = []
|
||||
for part_idx, part in enumerate(content):
|
||||
if not isinstance(part, dict):
|
||||
raise ValueError(
|
||||
f"Codex Responses input[{idx}] message content[{part_idx}] must be an object."
|
||||
)
|
||||
part_type = part.get("type")
|
||||
if part_type not in {"output_text", "text"}:
|
||||
raise ValueError(
|
||||
f"Codex Responses input[{idx}] message content[{part_idx}] has unsupported type {part_type!r}."
|
||||
)
|
||||
text = part.get("text", "")
|
||||
if text is None:
|
||||
text = ""
|
||||
if not isinstance(text, str):
|
||||
text = str(text)
|
||||
normalized_content.append({"type": "output_text", "text": text})
|
||||
if not normalized_content:
|
||||
raise ValueError(f"Codex Responses input[{idx}] message item must contain at least one text part.")
|
||||
normalized_item: Dict[str, Any] = {
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"status": _normalize_responses_message_status(item.get("status")),
|
||||
"content": normalized_content,
|
||||
}
|
||||
item_id = item.get("id")
|
||||
if isinstance(item_id, str) and item_id.strip():
|
||||
normalized_item["id"] = item_id.strip()
|
||||
phase = item.get("phase")
|
||||
if isinstance(phase, str) and phase.strip():
|
||||
normalized_item["phase"] = phase.strip()
|
||||
normalized.append(normalized_item)
|
||||
continue
|
||||
|
||||
role = item.get("role")
|
||||
if role in {"user", "assistant"}:
|
||||
content = item.get("content", "")
|
||||
@@ -547,16 +412,13 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
|
||||
content = ""
|
||||
if isinstance(content, list):
|
||||
# Multimodal content from ``_chat_messages_to_responses_input``
|
||||
# is already in Responses format (``input_text`` / ``output_text``
|
||||
# / ``input_image``). Validate each part and pass through.
|
||||
# Use the correct text type for the role — ``output_text`` for
|
||||
# assistant messages, ``input_text`` for user messages.
|
||||
text_type = "output_text" if role == "assistant" else "input_text"
|
||||
# is already in Responses format (``input_text`` / ``input_image``).
|
||||
# Validate each part and pass through.
|
||||
validated: List[Dict[str, Any]] = []
|
||||
for part_idx, part in enumerate(content):
|
||||
if isinstance(part, str):
|
||||
if part:
|
||||
validated.append({"type": text_type, "text": part})
|
||||
validated.append({"type": "input_text", "text": part})
|
||||
continue
|
||||
if not isinstance(part, dict):
|
||||
raise ValueError(
|
||||
@@ -567,7 +429,7 @@ def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
|
||||
text = part.get("text", "")
|
||||
if not isinstance(text, str):
|
||||
text = str(text or "")
|
||||
validated.append({"type": text_type, "text": text})
|
||||
validated.append({"type": "input_text", "text": text})
|
||||
elif ptype in {"input_image", "image_url"}:
|
||||
image_ref = part.get("image_url", "")
|
||||
detail = part.get("detail")
|
||||
@@ -824,7 +686,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
|
||||
content_parts: List[str] = []
|
||||
reasoning_parts: List[str] = []
|
||||
reasoning_items_raw: List[Dict[str, Any]] = []
|
||||
message_items_raw: List[Dict[str, Any]] = []
|
||||
tool_calls: List[Any] = []
|
||||
has_incomplete_items = response_status in {"queued", "in_progress", "incomplete"}
|
||||
saw_commentary_phase = False
|
||||
@@ -843,7 +704,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
|
||||
|
||||
if item_type == "message":
|
||||
item_phase = getattr(item, "phase", None)
|
||||
normalized_phase = None
|
||||
if isinstance(item_phase, str):
|
||||
normalized_phase = item_phase.strip().lower()
|
||||
if normalized_phase in {"commentary", "analysis"}:
|
||||
@@ -853,18 +713,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
|
||||
message_text = _extract_responses_message_text(item)
|
||||
if message_text:
|
||||
content_parts.append(message_text)
|
||||
raw_message_item: Dict[str, Any] = {
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"status": _normalize_responses_message_status(item_status),
|
||||
"content": [{"type": "output_text", "text": message_text}],
|
||||
}
|
||||
item_id = getattr(item, "id", None)
|
||||
if isinstance(item_id, str) and item_id:
|
||||
raw_message_item["id"] = item_id
|
||||
if normalized_phase:
|
||||
raw_message_item["phase"] = normalized_phase
|
||||
message_items_raw.append(raw_message_item)
|
||||
elif item_type == "reasoning":
|
||||
reasoning_text = _extract_responses_reasoning_text(item)
|
||||
if reasoning_text:
|
||||
@@ -939,37 +787,6 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
|
||||
if isinstance(out_text, str):
|
||||
final_text = out_text.strip()
|
||||
|
||||
# ── Tool-call leak recovery ──────────────────────────────────
|
||||
# gpt-5.x on the Codex Responses API sometimes degenerates and emits
|
||||
# what should be a structured `function_call` item as plain assistant
|
||||
# text using the Harmony/Codex serialization (``to=functions.foo
|
||||
# {json}`` or ``assistant to=functions.foo {json}``). The model
|
||||
# intended to call a tool, but the intent never made it into
|
||||
# ``response.output`` as a ``function_call`` item, so ``tool_calls``
|
||||
# is empty here. If we pass this through, the parent sees a
|
||||
# confident-looking summary with no audit trail (empty ``tool_trace``)
|
||||
# and no tools actually ran — the Taiwan-embassy-email incident.
|
||||
#
|
||||
# Detection: leaked tokens always contain ``to=functions.<name>`` and
|
||||
# the assistant message has no real tool calls. Treat it as incomplete
|
||||
# so the existing Codex-incomplete continuation path (3 retries,
|
||||
# handled in run_agent.py) gets a chance to re-elicit a proper
|
||||
# ``function_call`` item. The existing loop already handles message
|
||||
# append, dedup, and retry budget.
|
||||
leaked_tool_call_text = False
|
||||
if final_text and not tool_calls and _TOOL_CALL_LEAK_PATTERN.search(final_text):
|
||||
leaked_tool_call_text = True
|
||||
logger.warning(
|
||||
"Codex response contains leaked tool-call text in assistant content "
|
||||
"(no structured function_call items). Treating as incomplete so the "
|
||||
"continuation path can re-elicit a proper tool call. Leaked snippet: %r",
|
||||
final_text[:300],
|
||||
)
|
||||
# Clear the text so downstream code doesn't surface the garbage as
|
||||
# a summary. The encrypted reasoning items (if any) are preserved
|
||||
# so the model keeps its chain-of-thought on the retry.
|
||||
final_text = ""
|
||||
|
||||
assistant_message = SimpleNamespace(
|
||||
content=final_text,
|
||||
tool_calls=tool_calls,
|
||||
@@ -977,13 +794,10 @@ def _normalize_codex_response(response: Any) -> tuple[Any, str]:
|
||||
reasoning_content=None,
|
||||
reasoning_details=None,
|
||||
codex_reasoning_items=reasoning_items_raw or None,
|
||||
codex_message_items=message_items_raw or None,
|
||||
)
|
||||
|
||||
if tool_calls:
|
||||
finish_reason = "tool_calls"
|
||||
elif leaked_tool_call_text:
|
||||
finish_reason = "incomplete"
|
||||
elif has_incomplete_items or (saw_commentary_phase and not saw_final_answer_phase):
|
||||
finish_reason = "incomplete"
|
||||
elif reasoning_items_raw and not final_text:
|
||||
|
||||
+5
-128
@@ -61,52 +61,9 @@ _PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
|
||||
|
||||
# Chars per token rough estimate
|
||||
_CHARS_PER_TOKEN = 4
|
||||
# Flat token cost per attached image part. Real cost varies by provider and
|
||||
# dimensions (Anthropic ≈ width×height/750, GPT-4o up to ~1700 for
|
||||
# high-detail 2048×2048, Gemini 258/tile), but 1600 is a realistic ceiling
|
||||
# that keeps compression budgeting honest for multi-image conversations.
|
||||
# Matches Claude Code's IMAGE_TOKEN_ESTIMATE constant.
|
||||
_IMAGE_TOKEN_ESTIMATE = 1600
|
||||
# Same figure expressed in the char-budget currency the rest of the
|
||||
# compressor speaks in. Used when accumulating message "content length"
|
||||
# for tail-cut decisions.
|
||||
_IMAGE_CHAR_EQUIVALENT = _IMAGE_TOKEN_ESTIMATE * _CHARS_PER_TOKEN
|
||||
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
|
||||
|
||||
|
||||
def _content_length_for_budget(raw_content: Any) -> int:
|
||||
"""Return the effective char-length of a message's content for token budgeting.
|
||||
|
||||
Plain strings: ``len(content)``. Multimodal lists: sum of text-part
|
||||
``len(text)`` plus a flat ``_IMAGE_CHAR_EQUIVALENT`` per image part
|
||||
(``image_url`` / ``input_image`` / Anthropic-style ``image``). This
|
||||
keeps the compressor from treating a turn with 5 attached images as
|
||||
near-zero tokens just because the text part is empty.
|
||||
"""
|
||||
if isinstance(raw_content, str):
|
||||
return len(raw_content)
|
||||
if not isinstance(raw_content, list):
|
||||
return len(str(raw_content or ""))
|
||||
|
||||
total = 0
|
||||
for p in raw_content:
|
||||
if isinstance(p, str):
|
||||
total += len(p)
|
||||
continue
|
||||
if not isinstance(p, dict):
|
||||
total += len(str(p))
|
||||
continue
|
||||
ptype = p.get("type")
|
||||
if ptype in {"image_url", "input_image", "image"}:
|
||||
total += _IMAGE_CHAR_EQUIVALENT
|
||||
else:
|
||||
# text / input_text / tool_result-with-text / anything else with
|
||||
# a text field. Ignore the raw base64 payload inside image_url
|
||||
# dicts — dimensions don't matter, only whether it's an image.
|
||||
total += len(p.get("text", "") or "")
|
||||
return total
|
||||
|
||||
|
||||
def _content_text_for_contains(content: Any) -> str:
|
||||
"""Return a best-effort text view of message content.
|
||||
|
||||
@@ -337,11 +294,6 @@ class ContextCompressor(ContextEngine):
|
||||
self._context_probed = False
|
||||
self._context_probe_persistable = False
|
||||
self._previous_summary = None
|
||||
self._last_summary_error = None
|
||||
self._last_summary_dropped_count = 0
|
||||
self._last_summary_fallback_used = False
|
||||
self._last_aux_model_failure_error = None
|
||||
self._last_aux_model_failure_model = None
|
||||
self._last_compression_savings_pct = 100.0
|
||||
self._ineffective_compression_count = 0
|
||||
|
||||
@@ -365,13 +317,6 @@ class ContextCompressor(ContextEngine):
|
||||
int(context_length * self.threshold_percent),
|
||||
MINIMUM_CONTEXT_LENGTH,
|
||||
)
|
||||
# Recalculate token budgets for the new context length so the
|
||||
# compressor stays calibrated after a model switch (e.g. 200K → 32K).
|
||||
target_tokens = int(self.threshold_tokens * self.summary_target_ratio)
|
||||
self.tail_token_budget = target_tokens
|
||||
self.max_summary_tokens = min(
|
||||
int(context_length * 0.05), _SUMMARY_TOKENS_CEILING,
|
||||
)
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -444,18 +389,6 @@ class ContextCompressor(ContextEngine):
|
||||
self._last_compression_savings_pct: float = 100.0
|
||||
self._ineffective_compression_count: int = 0
|
||||
self._summary_failure_cooldown_until: float = 0.0
|
||||
self._last_summary_error: Optional[str] = None
|
||||
# When summary generation fails and a static fallback is inserted,
|
||||
# record how many turns were unrecoverably dropped so callers
|
||||
# (gateway hygiene, /compress) can surface a visible warning.
|
||||
self._last_summary_dropped_count: int = 0
|
||||
self._last_summary_fallback_used: bool = False
|
||||
# When a user-configured summary model fails and we recover by
|
||||
# retrying on the main model, record the failure so gateway /
|
||||
# CLI callers can still warn the user even though compression
|
||||
# succeeded. Silent recovery would hide the broken config.
|
||||
self._last_aux_model_failure_error: Optional[str] = None
|
||||
self._last_aux_model_failure_model: Optional[str] = None
|
||||
|
||||
def update_from_response(self, usage: Dict[str, Any]):
|
||||
"""Update tracked token usage from API response."""
|
||||
@@ -542,7 +475,7 @@ class ContextCompressor(ContextEngine):
|
||||
for i in range(len(result) - 1, -1, -1):
|
||||
msg = result[i]
|
||||
raw_content = msg.get("content") or ""
|
||||
content_len = _content_length_for_budget(raw_content)
|
||||
content_len = sum(len(p.get("text", "")) for p in raw_content) if isinstance(raw_content, list) else len(raw_content)
|
||||
msg_tokens = content_len // _CHARS_PER_TOKEN + 10
|
||||
for tc in msg.get("tool_calls") or []:
|
||||
if isinstance(tc, dict):
|
||||
@@ -879,12 +812,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
|
||||
self._previous_summary = summary
|
||||
self._summary_failure_cooldown_until = 0.0
|
||||
self._summary_model_fallen_back = False
|
||||
self._last_summary_error = None
|
||||
return self._with_summary_prefix(summary)
|
||||
except RuntimeError:
|
||||
# No provider configured — long cooldown, unlikely to self-resolve
|
||||
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
|
||||
self._last_summary_error = "no auxiliary LLM provider configured"
|
||||
logging.warning("Context compression: no provider available for "
|
||||
"summary. Middle turns will be dropped without summary "
|
||||
"for %d seconds.",
|
||||
@@ -915,57 +846,13 @@ The user has requested that this compaction PRIORITISE preserving all informatio
|
||||
"Falling back to main model '%s' for compression.",
|
||||
self.summary_model, e, self.model,
|
||||
)
|
||||
# Record the aux-model failure so callers can warn the user
|
||||
# even if the retry-on-main succeeds — a misconfigured aux
|
||||
# model is something the user needs to fix.
|
||||
_err_text = str(e).strip() or e.__class__.__name__
|
||||
if len(_err_text) > 220:
|
||||
_err_text = _err_text[:217].rstrip() + "..."
|
||||
self._last_aux_model_failure_error = _err_text
|
||||
self._last_aux_model_failure_model = self.summary_model
|
||||
self.summary_model = "" # empty = use main model
|
||||
self._summary_failure_cooldown_until = 0.0 # no cooldown
|
||||
return self._generate_summary(turns_to_summarize, focus_topic=focus_topic) # retry immediately
|
||||
|
||||
# Unknown-error best-effort retry on main model. Losing N turns of
|
||||
# context is almost always worse than one extra summary attempt, so
|
||||
# if we haven't already fallen back and the summary model differs
|
||||
# from the main model, try once more on main before entering
|
||||
# cooldown. Errors that DID match _is_model_not_found above are
|
||||
# already handled by the fast-path retry; this branch catches
|
||||
# everything else (400s, provider-specific "no route" strings,
|
||||
# aggregator rejections, etc.) where auto-retry is still safer
|
||||
# than dropping the turns.
|
||||
if (
|
||||
self.summary_model
|
||||
and self.summary_model != self.model
|
||||
and not getattr(self, "_summary_model_fallen_back", False)
|
||||
):
|
||||
self._summary_model_fallen_back = True
|
||||
logging.warning(
|
||||
"Summary model '%s' failed (%s). "
|
||||
"Retrying on main model '%s' before giving up.",
|
||||
self.summary_model, e, self.model,
|
||||
)
|
||||
# Record the aux-model failure (see 404 branch above) — user
|
||||
# should know their configured model is broken even if main
|
||||
# recovers the call.
|
||||
_err_text = str(e).strip() or e.__class__.__name__
|
||||
if len(_err_text) > 220:
|
||||
_err_text = _err_text[:217].rstrip() + "..."
|
||||
self._last_aux_model_failure_error = _err_text
|
||||
self._last_aux_model_failure_model = self.summary_model
|
||||
self.summary_model = "" # empty = use main model
|
||||
self._summary_failure_cooldown_until = 0.0
|
||||
return self._generate_summary(turns_to_summarize, focus_topic=focus_topic)
|
||||
|
||||
# Transient errors (timeout, rate limit, network) — shorter cooldown
|
||||
_transient_cooldown = 60
|
||||
self._summary_failure_cooldown_until = time.monotonic() + _transient_cooldown
|
||||
err_text = str(e).strip() or e.__class__.__name__
|
||||
if len(err_text) > 220:
|
||||
err_text = err_text[:217].rstrip() + "..."
|
||||
self._last_summary_error = err_text
|
||||
logging.warning(
|
||||
"Failed to generate context summary: %s. "
|
||||
"Further summary attempts paused for %d seconds.",
|
||||
@@ -1180,9 +1067,8 @@ The user has requested that this compaction PRIORITISE preserving all informatio
|
||||
|
||||
for i in range(n - 1, head_end - 1, -1):
|
||||
msg = messages[i]
|
||||
raw_content = msg.get("content") or ""
|
||||
content_len = _content_length_for_budget(raw_content)
|
||||
msg_tokens = content_len // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
|
||||
content = msg.get("content") or ""
|
||||
msg_tokens = len(content) // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
|
||||
# Include tool call arguments in estimate
|
||||
for tc in msg.get("tool_calls") or []:
|
||||
if isinstance(tc, dict):
|
||||
@@ -1251,13 +1137,6 @@ The user has requested that this compaction PRIORITISE preserving all informatio
|
||||
related to this topic and be more aggressive about compressing
|
||||
everything else. Inspired by Claude Code's ``/compact``.
|
||||
"""
|
||||
# Reset per-call summary failure state — callers inspect these fields
|
||||
# after compress() returns to decide whether to surface a warning.
|
||||
self._last_summary_dropped_count = 0
|
||||
self._last_summary_fallback_used = False
|
||||
self._last_summary_error = None
|
||||
self._last_aux_model_failure_error = None
|
||||
self._last_aux_model_failure_model = None
|
||||
n_messages = len(messages)
|
||||
# Only need head + 3 tail messages minimum (token budget decides the real tail size)
|
||||
_min_for_compress = self.protect_first_n + 3 + 1
|
||||
@@ -1336,13 +1215,11 @@ The user has requested that this compaction PRIORITISE preserving all informatio
|
||||
if not self.quiet_mode:
|
||||
logger.warning("Summary generation failed — inserting static fallback context marker")
|
||||
n_dropped = compress_end - compress_start
|
||||
self._last_summary_dropped_count = n_dropped
|
||||
self._last_summary_fallback_used = True
|
||||
summary = (
|
||||
f"{SUMMARY_PREFIX}\n"
|
||||
f"Summary generation was unavailable. {n_dropped} message(s) were "
|
||||
f"Summary generation was unavailable. {n_dropped} conversation turns were "
|
||||
f"removed to free context space but could not be summarized. The removed "
|
||||
f"messages contained earlier work in this session. Continue based on the "
|
||||
f"turns contained earlier work in this session. Continue based on the "
|
||||
f"recent messages below and the current state of any files or resources."
|
||||
)
|
||||
|
||||
|
||||
@@ -7,13 +7,13 @@ import random
|
||||
import threading
|
||||
import time
|
||||
import uuid
|
||||
import os
|
||||
import re
|
||||
from dataclasses import dataclass, fields, replace
|
||||
from datetime import datetime
|
||||
from typing import Any, Dict, List, Optional, Set, Tuple
|
||||
|
||||
from hermes_constants import OPENROUTER_BASE_URL
|
||||
from hermes_cli.config import get_env_value
|
||||
import hermes_cli.auth as auth_mod
|
||||
from hermes_cli.auth import (
|
||||
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
|
||||
@@ -455,70 +455,6 @@ class CredentialPool:
|
||||
logger.debug("Failed to sync from credentials file: %s", exc)
|
||||
return entry
|
||||
|
||||
def _sync_codex_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
|
||||
"""Sync a Codex device_code pool entry from auth.json if tokens differ.
|
||||
|
||||
When a Codex OAuth access token expires (or the ChatGPT account hits
|
||||
its 5h/weekly quota), the pool entry gets marked ``STATUS_EXHAUSTED``
|
||||
with a ``last_error_reset_at`` that can be many hours in the future.
|
||||
Meanwhile the user may run ``hermes model`` / ``hermes auth`` which
|
||||
performs a fresh device-code login and writes new tokens to
|
||||
``auth.json`` under ``_auth_store_lock``. Without this sync the pool
|
||||
entry stays frozen until ``last_error_reset_at`` elapses — even
|
||||
though fresh credentials are sitting on disk — and every request
|
||||
fails with "no available entries (all exhausted or empty)".
|
||||
|
||||
Mirrors the Nous/Anthropic resync paths above. Only applies to
|
||||
device_code-sourced entries; env/API-key-sourced entries have no
|
||||
auth.json shadow to sync from.
|
||||
"""
|
||||
if self.provider != "openai-codex" or entry.source != "device_code":
|
||||
return entry
|
||||
try:
|
||||
with _auth_store_lock():
|
||||
auth_store = _load_auth_store()
|
||||
state = _load_provider_state(auth_store, "openai-codex")
|
||||
if not isinstance(state, dict):
|
||||
return entry
|
||||
tokens = state.get("tokens")
|
||||
if not isinstance(tokens, dict):
|
||||
return entry
|
||||
store_access = tokens.get("access_token", "")
|
||||
store_refresh = tokens.get("refresh_token", "")
|
||||
# Adopt auth.json tokens when either side differs. Codex refresh
|
||||
# tokens are single-use too, so a fresh refresh_token from
|
||||
# another process means our entry's pair is consumed/stale.
|
||||
entry_access = entry.access_token or ""
|
||||
entry_refresh = entry.refresh_token or ""
|
||||
if store_access and (
|
||||
store_access != entry_access
|
||||
or (store_refresh and store_refresh != entry_refresh)
|
||||
):
|
||||
logger.debug(
|
||||
"Pool entry %s: syncing Codex tokens from auth.json "
|
||||
"(refreshed by another process)",
|
||||
entry.id,
|
||||
)
|
||||
field_updates: Dict[str, Any] = {
|
||||
"access_token": store_access,
|
||||
"refresh_token": store_refresh or entry.refresh_token,
|
||||
"last_status": None,
|
||||
"last_status_at": None,
|
||||
"last_error_code": None,
|
||||
"last_error_reason": None,
|
||||
"last_error_message": None,
|
||||
"last_error_reset_at": None,
|
||||
}
|
||||
if state.get("last_refresh"):
|
||||
field_updates["last_refresh"] = state["last_refresh"]
|
||||
updated = replace(entry, **field_updates)
|
||||
self._replace_entry(entry, updated)
|
||||
self._persist()
|
||||
return updated
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to sync Codex entry from auth.json: %s", exc)
|
||||
return entry
|
||||
|
||||
def _sync_nous_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
|
||||
"""Sync a Nous pool entry from auth.json if tokens differ.
|
||||
|
||||
@@ -851,18 +787,6 @@ class CredentialPool:
|
||||
if synced is not entry:
|
||||
entry = synced
|
||||
cleared_any = True
|
||||
# For openai-codex entries, same pattern: the user may have
|
||||
# re-authed via `hermes model` / `hermes auth` after a 429/401,
|
||||
# leaving fresh tokens on disk while the pool entry is still
|
||||
# frozen behind last_error_reset_at (can be hours in the
|
||||
# future for ChatGPT weekly windows).
|
||||
if (self.provider == "openai-codex"
|
||||
and entry.source == "device_code"
|
||||
and entry.last_status == STATUS_EXHAUSTED):
|
||||
synced = self._sync_codex_entry_from_auth_store(entry)
|
||||
if synced is not entry:
|
||||
entry = synced
|
||||
cleared_any = True
|
||||
if entry.last_status == STATUS_EXHAUSTED:
|
||||
exhausted_until = _exhausted_until(entry)
|
||||
if exhausted_until is not None and now < exhausted_until:
|
||||
@@ -1349,8 +1273,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
|
||||
def _is_source_suppressed(_p, _s): # type: ignore[misc]
|
||||
return False
|
||||
if provider == "openrouter":
|
||||
# Check both os.environ and ~/.hermes/.env file
|
||||
token = (get_env_value("OPENROUTER_API_KEY") or "").strip()
|
||||
token = os.getenv("OPENROUTER_API_KEY", "").strip()
|
||||
if token:
|
||||
source = "env:OPENROUTER_API_KEY"
|
||||
if _is_source_suppressed(provider, source):
|
||||
@@ -1376,7 +1299,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
|
||||
|
||||
env_url = ""
|
||||
if pconfig.base_url_env_var:
|
||||
env_url = (get_env_value(pconfig.base_url_env_var) or "").strip().rstrip("/")
|
||||
env_url = os.getenv(pconfig.base_url_env_var, "").strip().rstrip("/")
|
||||
|
||||
env_vars = list(pconfig.api_key_env_vars)
|
||||
if provider == "anthropic":
|
||||
@@ -1387,8 +1310,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
|
||||
]
|
||||
|
||||
for env_var in env_vars:
|
||||
# Check both os.environ and ~/.hermes/.env file
|
||||
token = (get_env_value(env_var) or "").strip()
|
||||
token = os.getenv(env_var, "").strip()
|
||||
if not token:
|
||||
continue
|
||||
source = f"env:{env_var}"
|
||||
|
||||
@@ -47,6 +47,7 @@ from __future__ import annotations
|
||||
|
||||
import os
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
from typing import Callable, List, Optional
|
||||
|
||||
|
||||
|
||||
+1
-2
@@ -223,8 +223,7 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
|
||||
target = args.get("target", "")
|
||||
if action == "add":
|
||||
content = _oneline(args.get("content", ""))
|
||||
target_prefix = f"+{target}: " if target else "+"
|
||||
return f"{target_prefix}\"{content[:25]}{'...' if len(content) > 25 else ''}\""
|
||||
return f"+{target}: \"{content[:25]}{'...' if len(content) > 25 else ''}\""
|
||||
elif action == "replace":
|
||||
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
|
||||
return f"~{target}: \"{old[:20]}\""
|
||||
|
||||
@@ -42,7 +42,6 @@ class FailoverReason(enum.Enum):
|
||||
# Context / payload
|
||||
context_overflow = "context_overflow" # Context too large — compress, not failover
|
||||
payload_too_large = "payload_too_large" # 413 — compress payload
|
||||
image_too_large = "image_too_large" # Native image part exceeds provider's per-image limit — shrink and retry
|
||||
|
||||
# Model
|
||||
model_not_found = "model_not_found" # 404 or invalid model — fallback to different model
|
||||
@@ -91,7 +90,6 @@ class ClassifiedError:
|
||||
_BILLING_PATTERNS = [
|
||||
"insufficient credits",
|
||||
"insufficient_quota",
|
||||
"insufficient balance",
|
||||
"credit balance",
|
||||
"credits have been exhausted",
|
||||
"top up your credits",
|
||||
@@ -149,20 +147,6 @@ _PAYLOAD_TOO_LARGE_PATTERNS = [
|
||||
"error code: 413",
|
||||
]
|
||||
|
||||
# Image-size patterns. Matched against 400 bodies (not 413) because most
|
||||
# providers return a 400 with a specific image-too-big message before the
|
||||
# whole request hits the 413 size limit. Anthropic's wording is the most
|
||||
# important here (hard 5 MB per image, returned as
|
||||
# "messages.N.content.K.image.source.base64: image exceeds 5 MB maximum").
|
||||
_IMAGE_TOO_LARGE_PATTERNS = [
|
||||
"image exceeds", # Anthropic: "image exceeds 5 MB maximum"
|
||||
"image too large", # generic
|
||||
"image_too_large", # error_code variant
|
||||
"image size exceeds", # variant
|
||||
# "request_too_large" on a request known to contain an image → image is
|
||||
# the likely culprit; we still try the shrink path before giving up.
|
||||
]
|
||||
|
||||
# Context overflow patterns
|
||||
_CONTEXT_OVERFLOW_PATTERNS = [
|
||||
"context length",
|
||||
@@ -687,15 +671,6 @@ def _classify_400(
|
||||
) -> ClassifiedError:
|
||||
"""Classify 400 Bad Request — context overflow, format error, or generic."""
|
||||
|
||||
# Image-too-large from 400 (Anthropic's 5 MB per-image check fires this way).
|
||||
# Must be checked BEFORE context_overflow because messages can trip both
|
||||
# patterns ("exceeds" + "image") and image-shrink is a cheaper recovery.
|
||||
if any(p in error_msg for p in _IMAGE_TOO_LARGE_PATTERNS):
|
||||
return result_fn(
|
||||
FailoverReason.image_too_large,
|
||||
retryable=True,
|
||||
)
|
||||
|
||||
# Context overflow from 400
|
||||
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
|
||||
return result_fn(
|
||||
@@ -823,13 +798,6 @@ def _classify_by_message(
|
||||
should_compress=True,
|
||||
)
|
||||
|
||||
# Image-too-large patterns (from message text when no status_code)
|
||||
if any(p in error_msg for p in _IMAGE_TOO_LARGE_PATTERNS):
|
||||
return result_fn(
|
||||
FailoverReason.image_too_large,
|
||||
retryable=True,
|
||||
)
|
||||
|
||||
# Usage-limit patterns need the same disambiguation as 402: some providers
|
||||
# surface "usage limit" errors without an HTTP status code. A transient
|
||||
# signal ("try again", "resets at", …) means it's a periodic quota, not
|
||||
|
||||
@@ -30,6 +30,7 @@ from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import time
|
||||
import uuid
|
||||
from types import SimpleNamespace
|
||||
@@ -41,6 +42,7 @@ from agent import google_oauth
|
||||
from agent.gemini_schema import sanitize_gemini_tool_parameters
|
||||
from agent.google_code_assist import (
|
||||
CODE_ASSIST_ENDPOINT,
|
||||
FREE_TIER_ID,
|
||||
CodeAssistError,
|
||||
ProjectContext,
|
||||
resolve_project_context,
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any, Dict
|
||||
from typing import Any, Dict, List
|
||||
|
||||
# Gemini's ``FunctionDeclaration.parameters`` field accepts the ``Schema``
|
||||
# object, which is only a subset of OpenAPI 3.0 / JSON Schema. Strip fields
|
||||
|
||||
@@ -29,6 +29,7 @@ from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import time
|
||||
import urllib.error
|
||||
import urllib.parse
|
||||
|
||||
@@ -49,13 +49,14 @@ import json
|
||||
import logging
|
||||
import os
|
||||
import secrets
|
||||
import socket
|
||||
import stat
|
||||
import threading
|
||||
import time
|
||||
import urllib.error
|
||||
import urllib.parse
|
||||
import urllib.request
|
||||
from dataclasses import dataclass
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, Optional, Tuple
|
||||
|
||||
@@ -97,7 +98,6 @@ _DEFAULT_CLIENT_SECRET = f"GOCSPX-{_PUBLIC_CLIENT_SECRET_SUFFIX}"
|
||||
|
||||
# Regex patterns for fallback scraping from an installed gemini-cli.
|
||||
import re as _re
|
||||
from utils import atomic_replace
|
||||
_CLIENT_ID_PATTERN = _re.compile(
|
||||
r"OAUTH_CLIENT_ID\s*=\s*['\"]([0-9]+-[a-z0-9]+\.apps\.googleusercontent\.com)['\"]"
|
||||
)
|
||||
@@ -499,7 +499,7 @@ def save_credentials(creds: GoogleCredentials) -> Path:
|
||||
fh.flush()
|
||||
os.fsync(fh.fileno())
|
||||
os.chmod(tmp_path, stat.S_IRUSR | stat.S_IWUSR)
|
||||
atomic_replace(tmp_path, path)
|
||||
os.replace(tmp_path, path)
|
||||
finally:
|
||||
try:
|
||||
if tmp_path.exists():
|
||||
|
||||
@@ -1,236 +0,0 @@
|
||||
"""Routing helpers for inbound user-attached images.
|
||||
|
||||
Two modes:
|
||||
|
||||
native — attach images as OpenAI-style ``image_url`` content parts on the
|
||||
user turn. Provider adapters (Anthropic, Gemini, Bedrock, Codex,
|
||||
OpenAI chat.completions) already translate these into their
|
||||
vendor-specific multimodal formats.
|
||||
|
||||
text — run ``vision_analyze`` on each image up-front and prepend the
|
||||
description to the user's text. The model never sees the pixels;
|
||||
it only sees a lossy text summary. This is the pre-existing
|
||||
behaviour and still the right choice for non-vision models.
|
||||
|
||||
The decision is made once per message turn by :func:`decide_image_input_mode`.
|
||||
It reads ``agent.image_input_mode`` from config.yaml (``auto`` | ``native``
|
||||
| ``text``, default ``auto``) and the active model's capability metadata.
|
||||
|
||||
In ``auto`` mode:
|
||||
- If the user has explicitly configured ``auxiliary.vision.provider``
|
||||
(i.e. not ``auto`` and not empty), we assume they want the text pipeline
|
||||
regardless of the main model — they've opted in to a specific vision
|
||||
backend for a reason (cost, quality, local-only, etc.).
|
||||
- Otherwise, if the active model reports ``supports_vision=True`` in its
|
||||
models.dev metadata, we attach natively.
|
||||
- Otherwise (non-vision model, no explicit override), we fall back to text.
|
||||
|
||||
This keeps ``vision_analyze`` surfaced as a tool in every session — skills
|
||||
and agent flows that chain it (browser screenshots, deeper inspection of
|
||||
URL-referenced images, style-gating loops) keep working. The routing only
|
||||
affects *how user-attached images on the current turn* are presented to the
|
||||
main model.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import base64
|
||||
import logging
|
||||
import mimetypes
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
_VALID_MODES = frozenset({"auto", "native", "text"})
|
||||
|
||||
|
||||
def _coerce_mode(raw: Any) -> str:
|
||||
"""Normalize a config value into one of the valid modes."""
|
||||
if not isinstance(raw, str):
|
||||
return "auto"
|
||||
val = raw.strip().lower()
|
||||
if val in _VALID_MODES:
|
||||
return val
|
||||
return "auto"
|
||||
|
||||
|
||||
def _explicit_aux_vision_override(cfg: Optional[Dict[str, Any]]) -> bool:
|
||||
"""True when the user configured a specific auxiliary vision backend.
|
||||
|
||||
An explicit override means the user *wants* the text pipeline (they're
|
||||
paying for a dedicated vision model), so we don't silently bypass it.
|
||||
"""
|
||||
if not isinstance(cfg, dict):
|
||||
return False
|
||||
aux = cfg.get("auxiliary") or {}
|
||||
if not isinstance(aux, dict):
|
||||
return False
|
||||
vision = aux.get("vision") or {}
|
||||
if not isinstance(vision, dict):
|
||||
return False
|
||||
|
||||
provider = str(vision.get("provider") or "").strip().lower()
|
||||
model = str(vision.get("model") or "").strip()
|
||||
base_url = str(vision.get("base_url") or "").strip()
|
||||
|
||||
# "auto" / "" / blank = not explicit
|
||||
if provider in ("", "auto") and not model and not base_url:
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def _lookup_supports_vision(provider: str, model: str) -> Optional[bool]:
|
||||
"""Return True/False if we can resolve caps, None if unknown."""
|
||||
if not provider or not model:
|
||||
return None
|
||||
try:
|
||||
from agent.models_dev import get_model_capabilities
|
||||
caps = get_model_capabilities(provider, model)
|
||||
except Exception as exc: # pragma: no cover - defensive
|
||||
logger.debug("image_routing: caps lookup failed for %s:%s — %s", provider, model, exc)
|
||||
return None
|
||||
if caps is None:
|
||||
return None
|
||||
return bool(caps.supports_vision)
|
||||
|
||||
|
||||
def decide_image_input_mode(
|
||||
provider: str,
|
||||
model: str,
|
||||
cfg: Optional[Dict[str, Any]],
|
||||
) -> str:
|
||||
"""Return ``"native"`` or ``"text"`` for the given turn.
|
||||
|
||||
Args:
|
||||
provider: active inference provider ID (e.g. ``"anthropic"``, ``"openrouter"``).
|
||||
model: active model slug as it would be sent to the provider.
|
||||
cfg: loaded config.yaml dict, or None. When None, behaves as auto.
|
||||
"""
|
||||
mode_cfg = "auto"
|
||||
if isinstance(cfg, dict):
|
||||
agent_cfg = cfg.get("agent") or {}
|
||||
if isinstance(agent_cfg, dict):
|
||||
mode_cfg = _coerce_mode(agent_cfg.get("image_input_mode"))
|
||||
|
||||
if mode_cfg == "native":
|
||||
return "native"
|
||||
if mode_cfg == "text":
|
||||
return "text"
|
||||
|
||||
# auto
|
||||
if _explicit_aux_vision_override(cfg):
|
||||
return "text"
|
||||
|
||||
supports = _lookup_supports_vision(provider, model)
|
||||
if supports is True:
|
||||
return "native"
|
||||
return "text"
|
||||
|
||||
|
||||
# Image size handling is REACTIVE rather than proactive: we attempt native
|
||||
# attachment at full size regardless of provider, and rely on
|
||||
# ``run_agent._try_shrink_image_parts_in_messages`` to shrink + retry if
|
||||
# the provider rejects the request (e.g. Anthropic's hard 5 MB per-image
|
||||
# ceiling returned as HTTP 400 "image exceeds 5 MB maximum").
|
||||
#
|
||||
# Why reactive: our knowledge of provider ceilings is partial and evolving
|
||||
# (OpenAI accepts 49 MB+, Anthropic 5 MB, Gemini 100 MB, others unknown).
|
||||
# A proactive per-provider table would be stale the moment a provider raises
|
||||
# or lowers its limit, and silently degrading quality for users on providers
|
||||
# that would have accepted the full image is the worse failure mode.
|
||||
# The shrink-on-reject path loses 1 API call + maybe 1s of Pillow work when
|
||||
# it fires, which is cheaper than permanent quality loss.
|
||||
|
||||
|
||||
def _guess_mime(path: Path) -> str:
|
||||
mime, _ = mimetypes.guess_type(str(path))
|
||||
if mime and mime.startswith("image/"):
|
||||
return mime
|
||||
# mimetypes on some Linux distros mis-maps .jpg; default to jpeg when
|
||||
# the suffix looks imagey.
|
||||
suffix = path.suffix.lower()
|
||||
return {
|
||||
".jpg": "image/jpeg",
|
||||
".jpeg": "image/jpeg",
|
||||
".png": "image/png",
|
||||
".gif": "image/gif",
|
||||
".webp": "image/webp",
|
||||
".bmp": "image/bmp",
|
||||
}.get(suffix, "image/jpeg")
|
||||
|
||||
|
||||
def _file_to_data_url(path: Path) -> Optional[str]:
|
||||
"""Encode a local image as a base64 data URL at its native size.
|
||||
|
||||
Size limits are NOT enforced here — the agent retry loop
|
||||
(``run_agent._try_shrink_image_parts_in_messages``) shrinks on the
|
||||
provider's first rejection. Keeping this simple means providers that
|
||||
accept large images (OpenAI 49 MB+, Gemini 100 MB) don't pay a silent
|
||||
quality tax just because one other provider is stricter.
|
||||
|
||||
Returns None only if the file can't be read (missing, permission
|
||||
denied, etc.); the caller reports those paths in ``skipped``.
|
||||
"""
|
||||
try:
|
||||
raw = path.read_bytes()
|
||||
except Exception as exc:
|
||||
logger.warning("image_routing: failed to read %s — %s", path, exc)
|
||||
return None
|
||||
mime = _guess_mime(path)
|
||||
b64 = base64.b64encode(raw).decode("ascii")
|
||||
return f"data:{mime};base64,{b64}"
|
||||
|
||||
|
||||
def build_native_content_parts(
|
||||
user_text: str,
|
||||
image_paths: List[str],
|
||||
) -> Tuple[List[Dict[str, Any]], List[str]]:
|
||||
"""Build an OpenAI-style ``content`` list for a user turn.
|
||||
|
||||
Shape:
|
||||
[{"type": "text", "text": "..."},
|
||||
{"type": "image_url", "image_url": {"url": "data:image/png;base64,..."}},
|
||||
...]
|
||||
|
||||
Images are attached at their native size. If a provider rejects the
|
||||
request because an image is too large (e.g. Anthropic's 5 MB per-image
|
||||
ceiling), the agent's retry loop transparently shrinks and retries
|
||||
once — see ``run_agent._try_shrink_image_parts_in_messages``.
|
||||
|
||||
Returns (content_parts, skipped_paths). Skipped paths are files that
|
||||
couldn't be read from disk.
|
||||
"""
|
||||
parts: List[Dict[str, Any]] = []
|
||||
skipped: List[str] = []
|
||||
|
||||
text = (user_text or "").strip()
|
||||
if text:
|
||||
parts.append({"type": "text", "text": text})
|
||||
|
||||
for raw_path in image_paths:
|
||||
p = Path(raw_path)
|
||||
if not p.exists() or not p.is_file():
|
||||
skipped.append(str(raw_path))
|
||||
continue
|
||||
data_url = _file_to_data_url(p)
|
||||
if not data_url:
|
||||
skipped.append(str(raw_path))
|
||||
continue
|
||||
parts.append({
|
||||
"type": "image_url",
|
||||
"image_url": {"url": data_url},
|
||||
})
|
||||
|
||||
# If the text was empty, add a neutral prompt so the turn isn't just images.
|
||||
if not text and any(p.get("type") == "image_url" for p in parts):
|
||||
parts.insert(0, {"type": "text", "text": "What do you see in this image?"})
|
||||
|
||||
return parts, skipped
|
||||
|
||||
|
||||
__all__ = [
|
||||
"decide_image_input_mode",
|
||||
"build_native_content_parts",
|
||||
]
|
||||
@@ -1,48 +0,0 @@
|
||||
"""LM Studio reasoning-effort resolution shared by the chat-completions
|
||||
transport and run_agent's iteration-limit summary path.
|
||||
|
||||
LM Studio publishes per-model ``capabilities.reasoning.allowed_options`` (e.g.
|
||||
``["off","on"]`` for toggle-style models, ``["off","minimal","low"]`` for
|
||||
graduated models). We map the user's ``reasoning_config`` onto LM Studio's
|
||||
OpenAI-compatible vocabulary, then clamp against the model's allowed set so
|
||||
the server doesn't 400 on an unsupported effort.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import List, Optional
|
||||
|
||||
# LM Studio accepts these top-level reasoning_effort values via its
|
||||
# OpenAI-compatible chat.completions endpoint.
|
||||
_LM_VALID_EFFORTS = {"none", "minimal", "low", "medium", "high", "xhigh"}
|
||||
|
||||
# Toggle-style models publish allowed_options as ["off","on"] in /api/v1/models.
|
||||
# Map them onto the OpenAI-compatible request vocabulary.
|
||||
_LM_EFFORT_ALIASES = {"off": "none", "on": "medium"}
|
||||
|
||||
|
||||
def resolve_lmstudio_effort(
|
||||
reasoning_config: Optional[dict],
|
||||
allowed_options: Optional[List[str]],
|
||||
) -> Optional[str]:
|
||||
"""Return the ``reasoning_effort`` string to send to LM Studio, or ``None``.
|
||||
|
||||
``None`` means "omit the field": the user picked a level the model can't
|
||||
honor, so let LM Studio fall back to the model's declared default rather
|
||||
than silently substituting a different effort. When ``allowed_options`` is
|
||||
falsy (probe failed), skip clamping and send the resolved effort anyway.
|
||||
"""
|
||||
effort = "medium"
|
||||
if reasoning_config and isinstance(reasoning_config, dict):
|
||||
if reasoning_config.get("enabled") is False:
|
||||
effort = "none"
|
||||
else:
|
||||
raw = (reasoning_config.get("effort") or "").strip().lower()
|
||||
raw = _LM_EFFORT_ALIASES.get(raw, raw)
|
||||
if raw in _LM_VALID_EFFORTS:
|
||||
effort = raw
|
||||
if allowed_options:
|
||||
allowed = {_LM_EFFORT_ALIASES.get(opt, opt) for opt in allowed_options}
|
||||
if effort not in allowed:
|
||||
return None
|
||||
return effort
|
||||
+8
-157
@@ -28,9 +28,9 @@ Usage in run_agent.py:
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
import inspect
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from agent.memory_provider import MemoryProvider
|
||||
@@ -62,124 +62,15 @@ def sanitize_context(text: str) -> str:
|
||||
return text
|
||||
|
||||
|
||||
class StreamingContextScrubber:
|
||||
"""Stateful scrubber for streaming text that may contain split memory-context spans.
|
||||
|
||||
The one-shot ``sanitize_context`` regex cannot survive chunk boundaries:
|
||||
a ``<memory-context>`` opened in one delta and closed in a later delta
|
||||
leaks its payload to the UI because the non-greedy block regex needs
|
||||
both tags in one string. This scrubber runs a small state machine
|
||||
across deltas, holding back partial-tag tails and discarding
|
||||
everything inside a span (including the system-note line).
|
||||
|
||||
Usage::
|
||||
|
||||
scrubber = StreamingContextScrubber()
|
||||
for delta in stream:
|
||||
visible = scrubber.feed(delta)
|
||||
if visible:
|
||||
emit(visible)
|
||||
trailing = scrubber.flush() # at end of stream
|
||||
if trailing:
|
||||
emit(trailing)
|
||||
|
||||
The scrubber is re-entrant per agent instance. Callers building new
|
||||
top-level responses (new turn) should create a fresh scrubber or call
|
||||
``reset()``.
|
||||
"""
|
||||
|
||||
_OPEN_TAG = "<memory-context>"
|
||||
_CLOSE_TAG = "</memory-context>"
|
||||
|
||||
def __init__(self) -> None:
|
||||
self._in_span: bool = False
|
||||
self._buf: str = ""
|
||||
|
||||
def reset(self) -> None:
|
||||
self._in_span = False
|
||||
self._buf = ""
|
||||
|
||||
def feed(self, text: str) -> str:
|
||||
"""Return the visible portion of ``text`` after scrubbing.
|
||||
|
||||
Any trailing fragment that could be the start of an open/close tag
|
||||
is held back in the internal buffer and surfaced on the next
|
||||
``feed()`` call or discarded/emitted by ``flush()``.
|
||||
"""
|
||||
if not text:
|
||||
return ""
|
||||
buf = self._buf + text
|
||||
self._buf = ""
|
||||
out: list[str] = []
|
||||
|
||||
while buf:
|
||||
if self._in_span:
|
||||
idx = buf.lower().find(self._CLOSE_TAG)
|
||||
if idx == -1:
|
||||
# Hold back a potential partial close tag; drop the rest
|
||||
held = self._max_partial_suffix(buf, self._CLOSE_TAG)
|
||||
self._buf = buf[-held:] if held else ""
|
||||
return "".join(out)
|
||||
# Found close — skip span content + tag, continue
|
||||
buf = buf[idx + len(self._CLOSE_TAG):]
|
||||
self._in_span = False
|
||||
else:
|
||||
idx = buf.lower().find(self._OPEN_TAG)
|
||||
if idx == -1:
|
||||
# No open tag — hold back a potential partial open tag
|
||||
held = self._max_partial_suffix(buf, self._OPEN_TAG)
|
||||
if held:
|
||||
out.append(buf[:-held])
|
||||
self._buf = buf[-held:]
|
||||
else:
|
||||
out.append(buf)
|
||||
return "".join(out)
|
||||
# Emit text before the tag, enter span
|
||||
if idx > 0:
|
||||
out.append(buf[:idx])
|
||||
buf = buf[idx + len(self._OPEN_TAG):]
|
||||
self._in_span = True
|
||||
|
||||
return "".join(out)
|
||||
|
||||
def flush(self) -> str:
|
||||
"""Emit any held-back buffer at end-of-stream.
|
||||
|
||||
If we're still inside an unterminated span the remaining content is
|
||||
discarded (safer: leaking partial memory context is worse than a
|
||||
truncated answer). Otherwise the held-back partial-tag tail is
|
||||
emitted verbatim (it turned out not to be a real tag).
|
||||
"""
|
||||
if self._in_span:
|
||||
self._buf = ""
|
||||
self._in_span = False
|
||||
return ""
|
||||
tail = self._buf
|
||||
self._buf = ""
|
||||
return tail
|
||||
|
||||
@staticmethod
|
||||
def _max_partial_suffix(buf: str, tag: str) -> int:
|
||||
"""Return the length of the longest buf-suffix that is a tag-prefix.
|
||||
|
||||
Case-insensitive. Returns 0 if no suffix could start the tag.
|
||||
"""
|
||||
tag_lower = tag.lower()
|
||||
buf_lower = buf.lower()
|
||||
max_check = min(len(buf_lower), len(tag_lower) - 1)
|
||||
for i in range(max_check, 0, -1):
|
||||
if tag_lower.startswith(buf_lower[-i:]):
|
||||
return i
|
||||
return 0
|
||||
|
||||
|
||||
def build_memory_context_block(raw_context: str) -> str:
|
||||
"""Wrap prefetched memory in a fenced block with system note."""
|
||||
"""Wrap prefetched memory in a fenced block with system note.
|
||||
|
||||
The fence prevents the model from treating recalled context as user
|
||||
discourse. Injected at API-call time only — never persisted.
|
||||
"""
|
||||
if not raw_context or not raw_context.strip():
|
||||
return ""
|
||||
clean = sanitize_context(raw_context)
|
||||
if clean != raw_context:
|
||||
logger.warning("memory provider returned pre-wrapped context; stripped")
|
||||
return (
|
||||
"<memory-context>\n"
|
||||
"[System note: The following is recalled memory context, "
|
||||
@@ -421,39 +312,7 @@ class MemoryManager:
|
||||
)
|
||||
return "\n\n".join(parts)
|
||||
|
||||
@staticmethod
|
||||
def _provider_memory_write_metadata_mode(provider: MemoryProvider) -> str:
|
||||
"""Return how to pass metadata to a provider's memory-write hook."""
|
||||
try:
|
||||
signature = inspect.signature(provider.on_memory_write)
|
||||
except (TypeError, ValueError):
|
||||
return "keyword"
|
||||
|
||||
params = list(signature.parameters.values())
|
||||
if any(p.kind == inspect.Parameter.VAR_KEYWORD for p in params):
|
||||
return "keyword"
|
||||
if "metadata" in signature.parameters:
|
||||
return "keyword"
|
||||
|
||||
accepted = [
|
||||
p for p in params
|
||||
if p.kind in (
|
||||
inspect.Parameter.POSITIONAL_ONLY,
|
||||
inspect.Parameter.POSITIONAL_OR_KEYWORD,
|
||||
inspect.Parameter.KEYWORD_ONLY,
|
||||
)
|
||||
]
|
||||
if len(accepted) >= 4:
|
||||
return "positional"
|
||||
return "legacy"
|
||||
|
||||
def on_memory_write(
|
||||
self,
|
||||
action: str,
|
||||
target: str,
|
||||
content: str,
|
||||
metadata: Optional[Dict[str, Any]] = None,
|
||||
) -> None:
|
||||
def on_memory_write(self, action: str, target: str, content: str) -> None:
|
||||
"""Notify external providers when the built-in memory tool writes.
|
||||
|
||||
Skips the builtin provider itself (it's the source of the write).
|
||||
@@ -462,15 +321,7 @@ class MemoryManager:
|
||||
if provider.name == "builtin":
|
||||
continue
|
||||
try:
|
||||
metadata_mode = self._provider_memory_write_metadata_mode(provider)
|
||||
if metadata_mode == "keyword":
|
||||
provider.on_memory_write(
|
||||
action, target, content, metadata=dict(metadata or {})
|
||||
)
|
||||
elif metadata_mode == "positional":
|
||||
provider.on_memory_write(action, target, content, dict(metadata or {}))
|
||||
else:
|
||||
provider.on_memory_write(action, target, content)
|
||||
provider.on_memory_write(action, target, content)
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
"Memory provider '%s' on_memory_write failed: %s",
|
||||
|
||||
@@ -26,7 +26,7 @@ Optional hooks (override to opt in):
|
||||
on_turn_start(turn, message, **kwargs) — per-turn tick with runtime context
|
||||
on_session_end(messages) — end-of-session extraction
|
||||
on_pre_compress(messages) -> str — extract before context compression
|
||||
on_memory_write(action, target, content, metadata=None) — mirror built-in memory writes
|
||||
on_memory_write(action, target, content) — mirror built-in memory writes
|
||||
on_delegation(task, result, **kwargs) — parent-side observation of subagent work
|
||||
"""
|
||||
|
||||
@@ -34,7 +34,7 @@ from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, List
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -220,21 +220,12 @@ class MemoryProvider(ABC):
|
||||
should all have ``env_var`` set and this method stays no-op).
|
||||
"""
|
||||
|
||||
def on_memory_write(
|
||||
self,
|
||||
action: str,
|
||||
target: str,
|
||||
content: str,
|
||||
metadata: Optional[Dict[str, Any]] = None,
|
||||
) -> None:
|
||||
def on_memory_write(self, action: str, target: str, content: str) -> None:
|
||||
"""Called when the built-in memory tool writes an entry.
|
||||
|
||||
action: 'add', 'replace', or 'remove'
|
||||
target: 'memory' or 'user'
|
||||
content: the entry content
|
||||
metadata: structured provenance for the write, when available. Common
|
||||
keys include ``write_origin``, ``execution_context``, ``session_id``,
|
||||
``parent_session_id``, ``platform``, and ``tool_name``.
|
||||
|
||||
Use to mirror built-in memory writes to your backend.
|
||||
"""
|
||||
|
||||
+46
-110
@@ -51,8 +51,6 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
|
||||
"qwen-oauth",
|
||||
"xiaomi",
|
||||
"arcee",
|
||||
"gmi",
|
||||
"tencent-tokenhub",
|
||||
"custom", "local",
|
||||
# Common aliases
|
||||
"google", "google-gemini", "google-ai-studio",
|
||||
@@ -61,9 +59,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
|
||||
"ollama",
|
||||
"stepfun", "opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
|
||||
"mimo", "xiaomi-mimo",
|
||||
"tencent", "tokenhub", "tencent-cloud", "tencentmaas",
|
||||
"arcee-ai", "arceeai",
|
||||
"gmi-cloud", "gmicloud",
|
||||
"xai", "x-ai", "x.ai", "grok",
|
||||
"nvidia", "nim", "nvidia-nim", "nemotron",
|
||||
"qwen-portal",
|
||||
@@ -110,11 +106,9 @@ _endpoint_model_metadata_cache_time: Dict[str, float] = {}
|
||||
_ENDPOINT_MODEL_CACHE_TTL = 300
|
||||
|
||||
# Descending tiers for context length probing when the model is unknown.
|
||||
# We start at 256K (covers GPT-5.x, many current large-context models) and
|
||||
# step down on context-length errors until one works. Tier[0] is also the
|
||||
# default fallback when no detection method succeeds.
|
||||
# We start at 128K (a safe default for most modern models) and step down
|
||||
# on context-length errors until one works.
|
||||
CONTEXT_PROBE_TIERS = [
|
||||
256_000,
|
||||
128_000,
|
||||
64_000,
|
||||
32_000,
|
||||
@@ -149,11 +143,10 @@ DEFAULT_CONTEXT_LENGTHS = {
|
||||
"claude": 200000,
|
||||
# OpenAI — GPT-5 family (most have 400k; specific overrides first)
|
||||
# Source: https://developers.openai.com/api/docs/models
|
||||
# GPT-5.5 (launched Apr 23 2026) is 1.05M on the direct OpenAI API and
|
||||
# ChatGPT Codex OAuth caps it at 272K; both paths resolve via their own
|
||||
# provider-aware branches (_resolve_codex_oauth_context_length + models.dev).
|
||||
# This hardcoded value is only reached when every probe misses.
|
||||
"gpt-5.5": 1050000,
|
||||
# GPT-5.5 (launched Apr 23 2026). 400k is the fallback for providers we
|
||||
# can't probe live. ChatGPT Codex OAuth actually caps lower (272k as of
|
||||
# Apr 2026) and is resolved via _resolve_codex_oauth_context_length().
|
||||
"gpt-5.5": 400000,
|
||||
"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
|
||||
"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
|
||||
"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
|
||||
@@ -169,17 +162,7 @@ DEFAULT_CONTEXT_LENGTHS = {
|
||||
"gemma-4-31b": 256000,
|
||||
"gemma-3": 131072,
|
||||
"gemma": 8192, # fallback for older gemma models
|
||||
# DeepSeek — V4 family ships with a 1M context window. The legacy
|
||||
# aliases ``deepseek-chat`` / ``deepseek-reasoner`` are server-side
|
||||
# mapped to the non-thinking / thinking modes of ``deepseek-v4-flash``
|
||||
# and inherit the same 1M window. The ``deepseek`` substring entry
|
||||
# below remains as a 128K fallback for older / unknown DeepSeek model
|
||||
# ids (e.g. via custom endpoints).
|
||||
# https://api-docs.deepseek.com/zh-cn/quick_start/pricing
|
||||
"deepseek-v4-pro": 1_000_000,
|
||||
"deepseek-v4-flash": 1_000_000,
|
||||
"deepseek-chat": 1_000_000,
|
||||
"deepseek-reasoner": 1_000_000,
|
||||
# DeepSeek
|
||||
"deepseek": 128000,
|
||||
# Meta
|
||||
"llama": 131072,
|
||||
@@ -210,8 +193,6 @@ DEFAULT_CONTEXT_LENGTHS = {
|
||||
"grok": 131072, # catch-all (grok-beta, unknown grok-*)
|
||||
# Kimi
|
||||
"kimi": 262144,
|
||||
# Tencent — Hy3 Preview (Hunyuan) with 256K context window
|
||||
"hy3-preview": 256000,
|
||||
# Nemotron — NVIDIA's open-weights series (128K context across all sizes)
|
||||
"nemotron": 131072,
|
||||
# Arcee
|
||||
@@ -313,8 +294,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
|
||||
"integrate.api.nvidia.com": "nvidia",
|
||||
"api.xiaomimimo.com": "xiaomi",
|
||||
"xiaomimimo.com": "xiaomi",
|
||||
"api.gmi-serving.com": "gmi",
|
||||
"tokenhub.tencentmaas.com": "tencent-tokenhub",
|
||||
"ollama.com": "ollama-cloud",
|
||||
}
|
||||
|
||||
@@ -625,6 +604,8 @@ def fetch_endpoint_model_metadata(
|
||||
if isinstance(ctx, int) and ctx > 0:
|
||||
context_length = ctx
|
||||
break
|
||||
if context_length is None:
|
||||
context_length = _extract_context_length(model)
|
||||
if context_length is not None:
|
||||
entry["context_length"] = context_length
|
||||
|
||||
@@ -708,29 +689,6 @@ def fetch_endpoint_model_metadata(
|
||||
return {}
|
||||
|
||||
|
||||
def _resolve_endpoint_context_length(
|
||||
model: str,
|
||||
base_url: str,
|
||||
api_key: str = "",
|
||||
) -> Optional[int]:
|
||||
"""Resolve context length from an endpoint's live ``/models`` metadata."""
|
||||
endpoint_metadata = fetch_endpoint_model_metadata(base_url, api_key=api_key)
|
||||
matched = endpoint_metadata.get(model)
|
||||
if not matched:
|
||||
if len(endpoint_metadata) == 1:
|
||||
matched = next(iter(endpoint_metadata.values()))
|
||||
else:
|
||||
for key, entry in endpoint_metadata.items():
|
||||
if model in key or key in model:
|
||||
matched = entry
|
||||
break
|
||||
if matched:
|
||||
context_length = matched.get("context_length")
|
||||
if isinstance(context_length, int):
|
||||
return context_length
|
||||
return None
|
||||
|
||||
|
||||
def _get_context_cache_path() -> Path:
|
||||
"""Return path to the persistent context length cache file."""
|
||||
from hermes_constants import get_hermes_home
|
||||
@@ -1014,7 +972,10 @@ def _query_local_context_length(model: str, base_url: str, api_key: str = "") ->
|
||||
ctx = cfg.get("context_length")
|
||||
if ctx and isinstance(ctx, (int, float)):
|
||||
return int(ctx)
|
||||
break
|
||||
# Fall back to max_context_length (theoretical model max)
|
||||
ctx = m.get("max_context_length") or m.get("context_length")
|
||||
if ctx and isinstance(ctx, (int, float)):
|
||||
return int(ctx)
|
||||
|
||||
# LM Studio / vLLM / llama.cpp: try /v1/models/{model}
|
||||
resp = client.get(f"{server_url}/v1/models/{model}")
|
||||
@@ -1232,14 +1193,12 @@ def get_model_context_length(
|
||||
api_key: str = "",
|
||||
config_context_length: int | None = None,
|
||||
provider: str = "",
|
||||
custom_providers: list | None = None,
|
||||
) -> int:
|
||||
"""Get the context length for a model.
|
||||
|
||||
Resolution order:
|
||||
0. Explicit config override (model.context_length or custom_providers per-model)
|
||||
1. Persistent cache (previously discovered via probing)
|
||||
1b. AWS Bedrock static table (must precede custom-endpoint probe)
|
||||
2. Active endpoint metadata (/models for explicit custom endpoints)
|
||||
3. Local server query (for local endpoints)
|
||||
4. Anthropic /v1/models API (API-key users only, not OAuth)
|
||||
@@ -1253,33 +1212,13 @@ def get_model_context_length(
|
||||
if config_context_length is not None and isinstance(config_context_length, int) and config_context_length > 0:
|
||||
return config_context_length
|
||||
|
||||
# 0b. custom_providers per-model override — check before any probe.
|
||||
# This closes the gap where /model switch and display paths used to fall
|
||||
# back to 128K despite the user having a per-model context_length set.
|
||||
# See #15779.
|
||||
if custom_providers and base_url and model:
|
||||
try:
|
||||
from hermes_cli.config import get_custom_provider_context_length
|
||||
cp_ctx = get_custom_provider_context_length(
|
||||
model=model,
|
||||
base_url=base_url,
|
||||
custom_providers=custom_providers,
|
||||
)
|
||||
if cp_ctx:
|
||||
return cp_ctx
|
||||
except Exception:
|
||||
pass # fall through to probing
|
||||
|
||||
# Normalise provider-prefixed model names (e.g. "local:model-name" →
|
||||
# "model-name") so cache lookups and server queries use the bare ID that
|
||||
# local servers actually know about. Ollama "model:tag" colons are preserved.
|
||||
model = _strip_provider_prefix(model)
|
||||
|
||||
# 1. Check persistent cache (model+provider)
|
||||
# LM Studio is excluded — its loaded context length is transient (the
|
||||
# user can reload the model with a different context_length at any time
|
||||
# via /api/v1/models/load), so a stale cached value would mask reloads.
|
||||
if base_url and provider != "lmstudio":
|
||||
if base_url:
|
||||
cached = get_cached_context_length(model, base_url)
|
||||
if cached is not None:
|
||||
# Invalidate stale Codex OAuth cache entries: pre-PR #14935 builds
|
||||
@@ -1298,42 +1237,34 @@ def get_model_context_length(
|
||||
else:
|
||||
return cached
|
||||
|
||||
# 1b. AWS Bedrock — use static context length table.
|
||||
# Bedrock's ListFoundationModels API doesn't expose context window sizes,
|
||||
# so we maintain a curated table in bedrock_adapter.py that reflects
|
||||
# AWS-imposed limits (e.g. 200K for Claude models vs 1M on the native
|
||||
# Anthropic API). This must run BEFORE the custom-endpoint probe at
|
||||
# step 2 — bedrock-runtime.<region>.amazonaws.com is not in
|
||||
# _URL_TO_PROVIDER, so it would otherwise be treated as a custom endpoint,
|
||||
# fail the /models probe (Bedrock doesn't expose that shape), and fall
|
||||
# back to the 128K default before reaching the original step 4b branch.
|
||||
if provider == "bedrock" or (
|
||||
base_url
|
||||
and base_url_hostname(base_url).startswith("bedrock-runtime.")
|
||||
and base_url_host_matches(base_url, "amazonaws.com")
|
||||
):
|
||||
try:
|
||||
from agent.bedrock_adapter import get_bedrock_context_length
|
||||
return get_bedrock_context_length(model)
|
||||
except ImportError:
|
||||
pass # boto3 not installed — fall through to generic resolution
|
||||
|
||||
# 2. Active endpoint metadata for truly custom/unknown endpoints.
|
||||
# Known providers (Copilot, OpenAI, Anthropic, etc.) skip this — their
|
||||
# /models endpoint may report a provider-imposed limit (e.g. Copilot
|
||||
# returns 128k) instead of the model's full context (400k). models.dev
|
||||
# has the correct per-provider values and is checked at step 5+.
|
||||
if _is_custom_endpoint(base_url) and not _is_known_provider_base_url(base_url):
|
||||
context_length = _resolve_endpoint_context_length(model, base_url, api_key=api_key)
|
||||
if context_length is not None:
|
||||
return context_length
|
||||
endpoint_metadata = fetch_endpoint_model_metadata(base_url, api_key=api_key)
|
||||
matched = endpoint_metadata.get(model)
|
||||
if not matched:
|
||||
# Single-model servers: if only one model is loaded, use it
|
||||
if len(endpoint_metadata) == 1:
|
||||
matched = next(iter(endpoint_metadata.values()))
|
||||
else:
|
||||
# Fuzzy match: substring in either direction
|
||||
for key, entry in endpoint_metadata.items():
|
||||
if model in key or key in model:
|
||||
matched = entry
|
||||
break
|
||||
if matched:
|
||||
context_length = matched.get("context_length")
|
||||
if isinstance(context_length, int):
|
||||
return context_length
|
||||
if not _is_known_provider_base_url(base_url):
|
||||
# 3. Try querying local server directly
|
||||
if is_local_endpoint(base_url):
|
||||
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
|
||||
if local_ctx and local_ctx > 0:
|
||||
if provider != "lmstudio":
|
||||
save_context_length(model, base_url, local_ctx)
|
||||
save_context_length(model, base_url, local_ctx)
|
||||
return local_ctx
|
||||
logger.info(
|
||||
"Could not detect context length for model %r at %s — "
|
||||
@@ -1351,7 +1282,19 @@ def get_model_context_length(
|
||||
if ctx:
|
||||
return ctx
|
||||
|
||||
# 4b. (Bedrock handled earlier at step 1b — before custom-endpoint probe.)
|
||||
# 4b. AWS Bedrock — use static context length table.
|
||||
# Bedrock's ListFoundationModels doesn't expose context window sizes,
|
||||
# so we maintain a curated table in bedrock_adapter.py.
|
||||
if provider == "bedrock" or (
|
||||
base_url
|
||||
and base_url_hostname(base_url).startswith("bedrock-runtime.")
|
||||
and base_url_host_matches(base_url, "amazonaws.com")
|
||||
):
|
||||
try:
|
||||
from agent.bedrock_adapter import get_bedrock_context_length
|
||||
return get_bedrock_context_length(model)
|
||||
except ImportError:
|
||||
pass # boto3 not installed — fall through to generic resolution
|
||||
|
||||
# 5. Provider-aware lookups (before generic OpenRouter cache)
|
||||
# These are provider-specific and take priority over the generic OR cache,
|
||||
@@ -1391,12 +1334,6 @@ def get_model_context_length(
|
||||
if base_url:
|
||||
save_context_length(model, base_url, codex_ctx)
|
||||
return codex_ctx
|
||||
if effective_provider == "gmi" and base_url:
|
||||
# GMI exposes authoritative context_length via /models, but it is not
|
||||
# in models.dev yet. Preserve that higher-fidelity endpoint lookup.
|
||||
ctx = _resolve_endpoint_context_length(model, base_url, api_key=api_key)
|
||||
if ctx is not None:
|
||||
return ctx
|
||||
if effective_provider:
|
||||
from agent.models_dev import lookup_models_dev_context
|
||||
ctx = lookup_models_dev_context(effective_provider, model)
|
||||
@@ -1406,7 +1343,7 @@ def get_model_context_length(
|
||||
# 6. OpenRouter live API metadata (provider-unaware fallback)
|
||||
metadata = fetch_model_metadata()
|
||||
if model in metadata:
|
||||
return metadata[model].get("context_length", DEFAULT_FALLBACK_CONTEXT)
|
||||
return metadata[model].get("context_length", 128000)
|
||||
|
||||
# 8. Hardcoded defaults (fuzzy match — longest key first for specificity)
|
||||
# Only check `default_model in model` (is the key a substring of the input).
|
||||
@@ -1423,8 +1360,7 @@ def get_model_context_length(
|
||||
if base_url and is_local_endpoint(base_url):
|
||||
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
|
||||
if local_ctx and local_ctx > 0:
|
||||
if provider != "lmstudio":
|
||||
save_context_length(model, base_url, local_ctx)
|
||||
save_context_length(model, base_url, local_ctx)
|
||||
return local_ctx
|
||||
|
||||
# 10. Default fallback — 128K
|
||||
|
||||
+1
-144
@@ -18,7 +18,6 @@ import os
|
||||
import tempfile
|
||||
import time
|
||||
from typing import Any, Mapping, Optional
|
||||
from utils import atomic_replace
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -119,7 +118,7 @@ def record_nous_rate_limit(
|
||||
try:
|
||||
with os.fdopen(fd, "w") as f:
|
||||
json.dump(state, f)
|
||||
atomic_replace(tmp_path, path)
|
||||
os.replace(tmp_path, path)
|
||||
except Exception:
|
||||
# Clean up temp file on failure
|
||||
try:
|
||||
@@ -181,145 +180,3 @@ def format_remaining(seconds: float) -> str:
|
||||
h, remainder = divmod(s, 3600)
|
||||
m = remainder // 60
|
||||
return f"{h}h {m}m" if m else f"{h}h"
|
||||
|
||||
|
||||
# Buckets with reset windows shorter than this are treated as transient
|
||||
# (upstream jitter, secondary throttling) rather than a genuine quota
|
||||
# exhaustion worth a cross-session breaker trip.
|
||||
_MIN_RESET_FOR_BREAKER_SECONDS = 60.0
|
||||
|
||||
|
||||
def is_genuine_nous_rate_limit(
|
||||
*,
|
||||
headers: Optional[Mapping[str, str]] = None,
|
||||
last_known_state: Optional[Any] = None,
|
||||
) -> bool:
|
||||
"""Decide whether a 429 from Nous Portal is a real account rate limit.
|
||||
|
||||
Nous Portal multiplexes multiple upstream providers (DeepSeek, Kimi,
|
||||
MiMo, Hermes, ...) behind one endpoint. A 429 can mean either:
|
||||
|
||||
(a) The caller's own RPM / RPH / TPM / TPH bucket on Nous is
|
||||
exhausted — a genuine rate limit that will last until the
|
||||
bucket resets.
|
||||
(b) The upstream provider is out of capacity for a specific model
|
||||
— transient, clears in seconds, and has nothing to do with
|
||||
the caller's quota on Nous.
|
||||
|
||||
Tripping the cross-session breaker on (b) blocks ALL Nous requests
|
||||
(and all models, since Nous is one provider key) for minutes even
|
||||
though the caller's account is healthy and a different model would
|
||||
have worked. That's the bug users hit when DeepSeek V4 Pro 429s
|
||||
trigger a breaker that then blocks Kimi 2.6 and MiMo V2.5 Pro.
|
||||
|
||||
We tell the two apart by looking at:
|
||||
|
||||
1. The 429 response's own ``x-ratelimit-*`` headers. Nous emits
|
||||
the full suite on every response including 429s. An exhausted
|
||||
bucket (``remaining == 0`` with a reset window >= 60s) is
|
||||
proof of (a).
|
||||
2. The last-known-good rate-limit state captured by
|
||||
``_capture_rate_limits()`` on the previous successful
|
||||
response. If any bucket there was already near-exhausted with
|
||||
a substantial reset window, the current 429 is almost
|
||||
certainly (a) continuing from that condition.
|
||||
|
||||
If neither signal fires, we treat the 429 as (b): fail the single
|
||||
request, let the retry loop or model-switch proceed, and do NOT
|
||||
write the cross-session breaker file.
|
||||
|
||||
Returns True when the evidence points at (a).
|
||||
"""
|
||||
# Signal 1: current 429 response headers.
|
||||
state = _parse_buckets_from_headers(headers)
|
||||
if _has_exhausted_bucket(state):
|
||||
return True
|
||||
|
||||
# Signal 2: last-known-good state from a recent successful response.
|
||||
# Accepts either a RateLimitState (dataclass from rate_limit_tracker)
|
||||
# or a dict of bucket snapshots.
|
||||
if last_known_state is not None and _has_exhausted_bucket_in_object(last_known_state):
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def _parse_buckets_from_headers(
|
||||
headers: Optional[Mapping[str, str]],
|
||||
) -> dict[str, tuple[Optional[int], Optional[float]]]:
|
||||
"""Extract (remaining, reset_seconds) per bucket from x-ratelimit-* headers.
|
||||
|
||||
Returns empty dict when no rate-limit headers are present.
|
||||
"""
|
||||
if not headers:
|
||||
return {}
|
||||
|
||||
lowered = {k.lower(): v for k, v in headers.items()}
|
||||
if not any(k.startswith("x-ratelimit-") for k in lowered):
|
||||
return {}
|
||||
|
||||
def _maybe_int(raw: Optional[str]) -> Optional[int]:
|
||||
if raw is None:
|
||||
return None
|
||||
try:
|
||||
return int(float(raw))
|
||||
except (TypeError, ValueError):
|
||||
return None
|
||||
|
||||
def _maybe_float(raw: Optional[str]) -> Optional[float]:
|
||||
if raw is None:
|
||||
return None
|
||||
try:
|
||||
return float(raw)
|
||||
except (TypeError, ValueError):
|
||||
return None
|
||||
|
||||
result: dict[str, tuple[Optional[int], Optional[float]]] = {}
|
||||
for tag in ("requests", "requests-1h", "tokens", "tokens-1h"):
|
||||
remaining = _maybe_int(lowered.get(f"x-ratelimit-remaining-{tag}"))
|
||||
reset = _maybe_float(lowered.get(f"x-ratelimit-reset-{tag}"))
|
||||
if remaining is not None or reset is not None:
|
||||
result[tag] = (remaining, reset)
|
||||
return result
|
||||
|
||||
|
||||
def _has_exhausted_bucket(
|
||||
buckets: Mapping[str, tuple[Optional[int], Optional[float]]],
|
||||
) -> bool:
|
||||
"""Return True when any bucket has remaining == 0 AND a meaningful reset window."""
|
||||
for remaining, reset in buckets.values():
|
||||
if remaining is None or remaining > 0:
|
||||
continue
|
||||
if reset is None:
|
||||
continue
|
||||
if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def _has_exhausted_bucket_in_object(state: Any) -> bool:
|
||||
"""Check a RateLimitState-like object for an exhausted bucket.
|
||||
|
||||
Accepts the dataclass from ``agent.rate_limit_tracker`` (buckets
|
||||
exposed as attributes ``requests_min``, ``requests_hour``,
|
||||
``tokens_min``, ``tokens_hour``) and falls back gracefully for any
|
||||
object missing those attributes.
|
||||
"""
|
||||
for attr in ("requests_min", "requests_hour", "tokens_min", "tokens_hour"):
|
||||
bucket = getattr(state, attr, None)
|
||||
if bucket is None:
|
||||
continue
|
||||
limit = getattr(bucket, "limit", 0) or 0
|
||||
remaining = getattr(bucket, "remaining", 0) or 0
|
||||
# Prefer the adjusted "remaining_seconds_now" property when present;
|
||||
# fall back to raw reset_seconds.
|
||||
reset = getattr(bucket, "remaining_seconds_now", None)
|
||||
if reset is None:
|
||||
reset = getattr(bucket, "reset_seconds", 0.0) or 0.0
|
||||
if limit <= 0:
|
||||
continue
|
||||
if remaining > 0:
|
||||
continue
|
||||
if reset >= _MIN_RESET_FOR_BREAKER_SECONDS:
|
||||
return True
|
||||
return False
|
||||
|
||||
@@ -1,191 +0,0 @@
|
||||
"""
|
||||
Contextual first-touch onboarding hints.
|
||||
|
||||
Instead of blocking first-run questionnaires, show a one-time hint the *first*
|
||||
time a user hits a behavior fork — message-while-running, first long-running
|
||||
tool, etc. Each hint is shown once per install (tracked in ``config.yaml`` under
|
||||
``onboarding.seen.<flag>``) and then never again.
|
||||
|
||||
Keep this module tiny and dependency-free so both the CLI and gateway can import
|
||||
it without pulling in heavy modules.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import Any, Mapping, Optional
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Flag names (stable — used as config.yaml keys under onboarding.seen)
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
BUSY_INPUT_FLAG = "busy_input_prompt"
|
||||
TOOL_PROGRESS_FLAG = "tool_progress_prompt"
|
||||
OPENCLAW_RESIDUE_FLAG = "openclaw_residue_cleanup"
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Hint content
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
def busy_input_hint_gateway(mode: str) -> str:
|
||||
"""Hint shown the first time a user messages while the agent is busy.
|
||||
|
||||
``mode`` is the effective busy_input_mode that was just applied, so the
|
||||
message matches reality ("I just interrupted…" vs "I just queued…").
|
||||
"""
|
||||
if mode == "queue":
|
||||
return (
|
||||
"💡 First-time tip — I queued your message instead of interrupting. "
|
||||
"Send `/busy interrupt` to make new messages stop the current task "
|
||||
"immediately, or `/busy status` to check. This notice won't appear again."
|
||||
)
|
||||
if mode == "steer":
|
||||
return (
|
||||
"💡 First-time tip — I steered your message into the current run; "
|
||||
"it will arrive after the next tool call instead of interrupting. "
|
||||
"Send `/busy interrupt` or `/busy queue` to change this, or "
|
||||
"`/busy status` to check. This notice won't appear again."
|
||||
)
|
||||
return (
|
||||
"💡 First-time tip — I just interrupted my current task to answer you. "
|
||||
"Send `/busy queue` to queue follow-ups for after the current task instead, "
|
||||
"`/busy steer` to inject them mid-run without interrupting, or "
|
||||
"`/busy status` to check. This notice won't appear again."
|
||||
)
|
||||
|
||||
|
||||
def busy_input_hint_cli(mode: str) -> str:
|
||||
"""CLI version of the busy-input hint (plain text, no markdown)."""
|
||||
if mode == "queue":
|
||||
return (
|
||||
"(tip) Your message was queued for the next turn. "
|
||||
"Use /busy interrupt to make Enter stop the current run instead, "
|
||||
"or /busy steer to inject mid-run. This tip only shows once."
|
||||
)
|
||||
if mode == "steer":
|
||||
return (
|
||||
"(tip) Your message was steered into the current run; it arrives "
|
||||
"after the next tool call. Use /busy interrupt or /busy queue to "
|
||||
"change this. This tip only shows once."
|
||||
)
|
||||
return (
|
||||
"(tip) Your message interrupted the current run. "
|
||||
"Use /busy queue to queue messages for the next turn instead, "
|
||||
"or /busy steer to inject mid-run. This tip only shows once."
|
||||
)
|
||||
|
||||
|
||||
def tool_progress_hint_gateway() -> str:
|
||||
return (
|
||||
"💡 First-time tip — that tool took a while and I'm streaming every step. "
|
||||
"If the progress messages feel noisy, send `/verbose` to cycle modes "
|
||||
"(all → new → off). This notice won't appear again."
|
||||
)
|
||||
|
||||
|
||||
def tool_progress_hint_cli() -> str:
|
||||
return (
|
||||
"(tip) That tool ran for a while. Use /verbose to cycle tool-progress "
|
||||
"display modes (all -> new -> off -> verbose). This tip only shows once."
|
||||
)
|
||||
|
||||
|
||||
def openclaw_residue_hint_cli() -> str:
|
||||
"""Banner shown the first time Hermes starts and finds ``~/.openclaw/``.
|
||||
|
||||
OpenClaw-era config, memory, and skill paths in ``~/.openclaw/`` will
|
||||
otherwise attract the agent (memory entries like ``~/.openclaw/config.yaml``
|
||||
get carried forward and the agent dutifully reads them). ``hermes claw
|
||||
cleanup`` renames the directory so the agent stops finding it.
|
||||
"""
|
||||
return (
|
||||
"Heads up — an OpenClaw workspace was detected at ~/.openclaw/.\n"
|
||||
"After migrating, the agent can still get confused and read that "
|
||||
"directory's config/memory instead of Hermes's.\n"
|
||||
"Run `hermes claw cleanup` to archive it (rename → .openclaw.pre-migration). "
|
||||
"This tip only shows once; rerun it any time with `hermes claw cleanup`."
|
||||
)
|
||||
|
||||
|
||||
def detect_openclaw_residue(home: Optional[Path] = None) -> bool:
|
||||
"""Return True if an OpenClaw workspace directory is present in ``$HOME``.
|
||||
|
||||
Pure filesystem check — no side effects. ``home`` override exists for tests.
|
||||
"""
|
||||
base = home or Path.home()
|
||||
try:
|
||||
return (base / ".openclaw").is_dir()
|
||||
except OSError:
|
||||
return False
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# State read / write
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
def _get_seen_dict(config: Mapping[str, Any]) -> Mapping[str, Any]:
|
||||
onboarding = config.get("onboarding") if isinstance(config, Mapping) else None
|
||||
if not isinstance(onboarding, Mapping):
|
||||
return {}
|
||||
seen = onboarding.get("seen")
|
||||
return seen if isinstance(seen, Mapping) else {}
|
||||
|
||||
|
||||
def is_seen(config: Mapping[str, Any], flag: str) -> bool:
|
||||
"""Return True if the user has already been shown this first-touch hint."""
|
||||
return bool(_get_seen_dict(config).get(flag))
|
||||
|
||||
|
||||
def mark_seen(config_path: Path, flag: str) -> bool:
|
||||
"""Persist ``onboarding.seen.<flag> = True`` to ``config_path``.
|
||||
|
||||
Uses the atomic YAML writer so a concurrent process can't observe a
|
||||
partially-written file. Returns True on success, False on any error
|
||||
(including the config file being absent — onboarding is best-effort).
|
||||
"""
|
||||
try:
|
||||
import yaml
|
||||
from utils import atomic_yaml_write
|
||||
except Exception as e: # pragma: no cover — dependency issue
|
||||
logger.debug("onboarding: failed to import yaml/utils: %s", e)
|
||||
return False
|
||||
|
||||
try:
|
||||
cfg: dict = {}
|
||||
if config_path.exists():
|
||||
with open(config_path, encoding="utf-8") as f:
|
||||
cfg = yaml.safe_load(f) or {}
|
||||
if not isinstance(cfg.get("onboarding"), dict):
|
||||
cfg["onboarding"] = {}
|
||||
seen = cfg["onboarding"].get("seen")
|
||||
if not isinstance(seen, dict):
|
||||
seen = {}
|
||||
cfg["onboarding"]["seen"] = seen
|
||||
if seen.get(flag) is True:
|
||||
return True # already marked — nothing to do
|
||||
seen[flag] = True
|
||||
atomic_yaml_write(config_path, cfg)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.debug("onboarding: failed to mark flag %s: %s", flag, e)
|
||||
return False
|
||||
|
||||
|
||||
__all__ = [
|
||||
"BUSY_INPUT_FLAG",
|
||||
"TOOL_PROGRESS_FLAG",
|
||||
"OPENCLAW_RESIDUE_FLAG",
|
||||
"busy_input_hint_gateway",
|
||||
"busy_input_hint_cli",
|
||||
"tool_progress_hint_gateway",
|
||||
"tool_progress_hint_cli",
|
||||
"openclaw_residue_hint_cli",
|
||||
"detect_openclaw_residue",
|
||||
"is_seen",
|
||||
"mark_seen",
|
||||
]
|
||||
@@ -141,12 +141,6 @@ DEFAULT_AGENT_IDENTITY = (
|
||||
"Be targeted and efficient in your exploration and investigations."
|
||||
)
|
||||
|
||||
HERMES_AGENT_HELP_GUIDANCE = (
|
||||
"If the user asks about configuring, setting up, or using Hermes Agent "
|
||||
"itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') "
|
||||
"before answering. Docs: https://hermes-agent.nousresearch.com/docs"
|
||||
)
|
||||
|
||||
MEMORY_GUIDANCE = (
|
||||
"You have persistent memory across sessions. Save durable facts using the memory "
|
||||
"tool: user preferences, environment details, tool quirks, and stable conventions. "
|
||||
@@ -310,10 +304,6 @@ PLATFORM_HINTS = {
|
||||
"Standard markdown is automatically converted to Telegram format. "
|
||||
"Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, "
|
||||
"`inline code`, ```code blocks```, [links](url), and ## headers. "
|
||||
"Telegram has NO table syntax — prefer bullet lists or labeled "
|
||||
"key: value pairs over pipe tables (any tables you do emit are "
|
||||
"auto-rewritten into row-group bullets, which you can produce "
|
||||
"directly for cleaner output). "
|
||||
"You can send media files natively: to deliver a file to the user, "
|
||||
"include MEDIA:/absolute/path/to/file in your response. Images "
|
||||
"(.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice "
|
||||
@@ -432,29 +422,6 @@ PLATFORM_HINTS = {
|
||||
"your response. Images are sent as native photos, and other files arrive as downloadable "
|
||||
"documents."
|
||||
),
|
||||
"yuanbao": (
|
||||
"You are on Yuanbao (腾讯元宝), a Chinese AI assistant platform. "
|
||||
"Markdown formatting is supported (code blocks, tables, bold/italic). "
|
||||
"You CAN send media files natively — to deliver a file to the user, include "
|
||||
"MEDIA:/absolute/path/to/file in your response. The file will be sent as a native "
|
||||
"Yuanbao attachment: images (.jpg, .png, .webp, .gif) are sent as photos, "
|
||||
"and other files (.pdf, .docx, .txt, .zip, etc.) arrive as downloadable documents "
|
||||
"(max 50 MB). You can also include image URLs in markdown format  and "
|
||||
"they will be downloaded and sent as native photos. "
|
||||
"Do NOT tell the user you lack file-sending capability — use MEDIA: syntax "
|
||||
"whenever a file delivery is appropriate.\n\n"
|
||||
"Stickers (贴纸 / 表情包 / TIM face): Yuanbao has a built-in sticker catalogue. "
|
||||
"When the user sends a sticker (you see '[emoji: 名称]' in their message) or asks "
|
||||
"you to send/reply-with a 贴纸/表情/表情包, you MUST use the sticker tools:\n"
|
||||
" 1. Call yb_search_sticker with a Chinese keyword (e.g. '666', '比心', '吃瓜', "
|
||||
" '捂脸', '合十') to discover matching sticker_ids.\n"
|
||||
" 2. Call yb_send_sticker with the chosen sticker_id or name — this sends a real "
|
||||
" TIMFaceElem that renders as a native sticker in the chat.\n"
|
||||
"DO NOT draw sticker-like PNGs with execute_code/Pillow/matplotlib and then send "
|
||||
"them via MEDIA: or send_image_file. That produces a fake low-quality 'sticker' "
|
||||
"image and is the WRONG path. Bare Unicode emoji in text is also not a substitute "
|
||||
"— when a sticker is the right response, use yb_send_sticker."
|
||||
),
|
||||
}
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -858,11 +825,6 @@ def build_skills_system_prompt(
|
||||
"Skills also encode the user's preferred approach, conventions, and quality standards "
|
||||
"for tasks like code review, planning, and testing — load them even for tasks you "
|
||||
"already know how to do, because the skill defines how it should be done here.\n"
|
||||
"Whenever the user asks you to configure, set up, install, enable, disable, modify, "
|
||||
"or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, "
|
||||
"skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill "
|
||||
"first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, "
|
||||
"`hermes setup`) so you don't have to guess or invent workarounds.\n"
|
||||
"If a skill has issues, fix it with skill_manage(action='patch').\n"
|
||||
"After difficult/iterative tasks, offer to save as a skill. "
|
||||
"If a skill you loaded was missing steps, had wrong commands, or needed "
|
||||
|
||||
+3
-7
@@ -56,12 +56,8 @@ _SENSITIVE_BODY_KEYS = frozenset({
|
||||
})
|
||||
|
||||
# Snapshot at import time so runtime env mutations (e.g. LLM-generated
|
||||
# `export HERMES_REDACT_SECRETS=true`) cannot enable/disable redaction
|
||||
# mid-session. OFF by default — user must opt in via
|
||||
# `security.redact_secrets: true` in config.yaml (bridged to this env var
|
||||
# in hermes_cli/main.py and gateway/run.py) or `HERMES_REDACT_SECRETS=true`
|
||||
# in ~/.hermes/.env.
|
||||
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() in ("1", "true", "yes", "on")
|
||||
# `export HERMES_REDACT_SECRETS=false`) cannot disable redaction mid-session.
|
||||
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() not in ("0", "false", "no", "off")
|
||||
|
||||
# Known API key prefixes -- match the prefix + contiguous token chars
|
||||
_PREFIX_PATTERNS = [
|
||||
@@ -261,7 +257,7 @@ def redact_sensitive_text(text: str) -> str:
|
||||
"""Apply all redaction patterns to a block of text.
|
||||
|
||||
Safe to call on any string -- non-matching text passes through unchanged.
|
||||
Disabled by default — enable via security.redact_secrets: true in config.yaml.
|
||||
Disabled when security.redact_secrets is false in config.yaml.
|
||||
"""
|
||||
if text is None:
|
||||
return None
|
||||
|
||||
@@ -76,7 +76,6 @@ except ImportError: # pragma: no cover
|
||||
fcntl = None # type: ignore[assignment]
|
||||
|
||||
from hermes_constants import get_hermes_home
|
||||
from utils import atomic_replace
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -569,7 +568,7 @@ def save_allowlist(data: Dict[str, Any]) -> None:
|
||||
try:
|
||||
with os.fdopen(fd, "w") as fh:
|
||||
fh.write(json.dumps(data, indent=2, sort_keys=True))
|
||||
atomic_replace(tmp_path, p)
|
||||
os.replace(tmp_path, p)
|
||||
except Exception:
|
||||
try:
|
||||
os.unlink(tmp_path)
|
||||
@@ -755,11 +754,7 @@ def _resolve_effective_accept(
|
||||
if env in ("1", "true", "yes", "on"):
|
||||
return True
|
||||
cfg_val = cfg.get("hooks_auto_accept", False)
|
||||
if isinstance(cfg_val, bool):
|
||||
return cfg_val
|
||||
if isinstance(cfg_val, str):
|
||||
return cfg_val.strip().lower() in ("1", "true", "yes", "on")
|
||||
return False
|
||||
return bool(cfg_val)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
+109
-10
@@ -7,15 +7,11 @@ can invoke skills via /skill-name commands.
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from hermes_constants import display_hermes_home
|
||||
from agent.skill_preprocessing import (
|
||||
expand_inline_shell as _expand_inline_shell,
|
||||
load_skills_config as _load_skills_config,
|
||||
substitute_template_vars as _substitute_template_vars,
|
||||
)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -24,6 +20,111 @@ _skill_commands: Dict[str, Dict[str, Any]] = {}
|
||||
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
|
||||
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
|
||||
|
||||
# Matches ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} tokens in SKILL.md.
|
||||
# Tokens that don't resolve (e.g. ${HERMES_SESSION_ID} with no session) are
|
||||
# left as-is so the user can debug them.
|
||||
_SKILL_TEMPLATE_RE = re.compile(r"\$\{(HERMES_SKILL_DIR|HERMES_SESSION_ID)\}")
|
||||
|
||||
# Matches inline shell snippets like: !`date +%Y-%m-%d`
|
||||
# Non-greedy, single-line only — no newlines inside the backticks.
|
||||
_INLINE_SHELL_RE = re.compile(r"!`([^`\n]+)`")
|
||||
|
||||
# Cap inline-shell output so a runaway command can't blow out the context.
|
||||
_INLINE_SHELL_MAX_OUTPUT = 4000
|
||||
|
||||
|
||||
def _load_skills_config() -> dict:
|
||||
"""Load the ``skills`` section of config.yaml (best-effort)."""
|
||||
try:
|
||||
from hermes_cli.config import load_config
|
||||
|
||||
cfg = load_config() or {}
|
||||
skills_cfg = cfg.get("skills")
|
||||
if isinstance(skills_cfg, dict):
|
||||
return skills_cfg
|
||||
except Exception:
|
||||
logger.debug("Could not read skills config", exc_info=True)
|
||||
return {}
|
||||
|
||||
|
||||
def _substitute_template_vars(
|
||||
content: str,
|
||||
skill_dir: Path | None,
|
||||
session_id: str | None,
|
||||
) -> str:
|
||||
"""Replace ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} in skill content.
|
||||
|
||||
Only substitutes tokens for which a concrete value is available —
|
||||
unresolved tokens are left in place so the author can spot them.
|
||||
"""
|
||||
if not content:
|
||||
return content
|
||||
|
||||
skill_dir_str = str(skill_dir) if skill_dir else None
|
||||
|
||||
def _replace(match: re.Match) -> str:
|
||||
token = match.group(1)
|
||||
if token == "HERMES_SKILL_DIR" and skill_dir_str:
|
||||
return skill_dir_str
|
||||
if token == "HERMES_SESSION_ID" and session_id:
|
||||
return str(session_id)
|
||||
return match.group(0)
|
||||
|
||||
return _SKILL_TEMPLATE_RE.sub(_replace, content)
|
||||
|
||||
|
||||
def _run_inline_shell(command: str, cwd: Path | None, timeout: int) -> str:
|
||||
"""Execute a single inline-shell snippet and return its stdout (trimmed).
|
||||
|
||||
Failures return a short ``[inline-shell error: ...]`` marker instead of
|
||||
raising, so one bad snippet can't wreck the whole skill message.
|
||||
"""
|
||||
try:
|
||||
completed = subprocess.run(
|
||||
["bash", "-c", command],
|
||||
cwd=str(cwd) if cwd else None,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=max(1, int(timeout)),
|
||||
check=False,
|
||||
)
|
||||
except subprocess.TimeoutExpired:
|
||||
return f"[inline-shell timeout after {timeout}s: {command}]"
|
||||
except FileNotFoundError:
|
||||
return f"[inline-shell error: bash not found]"
|
||||
except Exception as exc:
|
||||
return f"[inline-shell error: {exc}]"
|
||||
|
||||
output = (completed.stdout or "").rstrip("\n")
|
||||
if not output and completed.stderr:
|
||||
output = completed.stderr.rstrip("\n")
|
||||
if len(output) > _INLINE_SHELL_MAX_OUTPUT:
|
||||
output = output[:_INLINE_SHELL_MAX_OUTPUT] + "…[truncated]"
|
||||
return output
|
||||
|
||||
|
||||
def _expand_inline_shell(
|
||||
content: str,
|
||||
skill_dir: Path | None,
|
||||
timeout: int,
|
||||
) -> str:
|
||||
"""Replace every !`cmd` snippet in ``content`` with its stdout.
|
||||
|
||||
Runs each snippet with the skill directory as CWD so relative paths in
|
||||
the snippet work the way the author expects.
|
||||
"""
|
||||
if "!`" not in content:
|
||||
return content
|
||||
|
||||
def _replace(match: re.Match) -> str:
|
||||
cmd = match.group(1).strip()
|
||||
if not cmd:
|
||||
return ""
|
||||
return _run_inline_shell(cmd, skill_dir, timeout)
|
||||
|
||||
return _INLINE_SHELL_RE.sub(_replace, content)
|
||||
|
||||
|
||||
def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
|
||||
"""Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
|
||||
raw_identifier = (skill_identifier or "").strip()
|
||||
@@ -42,9 +143,7 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
|
||||
else:
|
||||
normalized = raw_identifier.lstrip("/")
|
||||
|
||||
loaded_skill = json.loads(
|
||||
skill_view(normalized, task_id=task_id, preprocess=False)
|
||||
)
|
||||
loaded_skill = json.loads(skill_view(normalized, task_id=task_id))
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
@@ -329,7 +428,7 @@ def build_skill_invocation_message(
|
||||
|
||||
loaded_skill, skill_dir, skill_name = loaded
|
||||
activation_note = (
|
||||
f'[IMPORTANT: The user has invoked the "{skill_name}" skill, indicating they want '
|
||||
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want '
|
||||
"you to follow its instructions. The full skill content is loaded below.]"
|
||||
)
|
||||
return _build_skill_message(
|
||||
@@ -368,7 +467,7 @@ def build_preloaded_skills_prompt(
|
||||
|
||||
loaded_skill, skill_dir, skill_name = loaded
|
||||
activation_note = (
|
||||
f'[IMPORTANT: The user launched this CLI session with the "{skill_name}" skill '
|
||||
f'[SYSTEM: The user launched this CLI session with the "{skill_name}" skill '
|
||||
"preloaded. Treat its instructions as active guidance for the duration of this "
|
||||
"session unless the user overrides them.]"
|
||||
)
|
||||
|
||||
@@ -1,131 +0,0 @@
|
||||
"""Shared SKILL.md preprocessing helpers."""
|
||||
|
||||
import logging
|
||||
import re
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Matches ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} tokens in SKILL.md.
|
||||
# Tokens that don't resolve (e.g. ${HERMES_SESSION_ID} with no session) are
|
||||
# left as-is so the user can debug them.
|
||||
_SKILL_TEMPLATE_RE = re.compile(r"\$\{(HERMES_SKILL_DIR|HERMES_SESSION_ID)\}")
|
||||
|
||||
# Matches inline shell snippets like: !`date +%Y-%m-%d`
|
||||
# Non-greedy, single-line only -- no newlines inside the backticks.
|
||||
_INLINE_SHELL_RE = re.compile(r"!`([^`\n]+)`")
|
||||
|
||||
# Cap inline-shell output so a runaway command can't blow out the context.
|
||||
_INLINE_SHELL_MAX_OUTPUT = 4000
|
||||
|
||||
|
||||
def load_skills_config() -> dict:
|
||||
"""Load the ``skills`` section of config.yaml (best-effort)."""
|
||||
try:
|
||||
from hermes_cli.config import load_config
|
||||
|
||||
cfg = load_config() or {}
|
||||
skills_cfg = cfg.get("skills")
|
||||
if isinstance(skills_cfg, dict):
|
||||
return skills_cfg
|
||||
except Exception:
|
||||
logger.debug("Could not read skills config", exc_info=True)
|
||||
return {}
|
||||
|
||||
|
||||
def substitute_template_vars(
|
||||
content: str,
|
||||
skill_dir: Path | None,
|
||||
session_id: str | None,
|
||||
) -> str:
|
||||
"""Replace ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} in skill content.
|
||||
|
||||
Only substitutes tokens for which a concrete value is available --
|
||||
unresolved tokens are left in place so the author can spot them.
|
||||
"""
|
||||
if not content:
|
||||
return content
|
||||
|
||||
skill_dir_str = str(skill_dir) if skill_dir else None
|
||||
|
||||
def _replace(match: re.Match) -> str:
|
||||
token = match.group(1)
|
||||
if token == "HERMES_SKILL_DIR" and skill_dir_str:
|
||||
return skill_dir_str
|
||||
if token == "HERMES_SESSION_ID" and session_id:
|
||||
return str(session_id)
|
||||
return match.group(0)
|
||||
|
||||
return _SKILL_TEMPLATE_RE.sub(_replace, content)
|
||||
|
||||
|
||||
def run_inline_shell(command: str, cwd: Path | None, timeout: int) -> str:
|
||||
"""Execute a single inline-shell snippet and return its stdout (trimmed).
|
||||
|
||||
Failures return a short ``[inline-shell error: ...]`` marker instead of
|
||||
raising, so one bad snippet can't wreck the whole skill message.
|
||||
"""
|
||||
try:
|
||||
completed = subprocess.run(
|
||||
["bash", "-c", command],
|
||||
cwd=str(cwd) if cwd else None,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=max(1, int(timeout)),
|
||||
check=False,
|
||||
)
|
||||
except subprocess.TimeoutExpired:
|
||||
return f"[inline-shell timeout after {timeout}s: {command}]"
|
||||
except FileNotFoundError:
|
||||
return "[inline-shell error: bash not found]"
|
||||
except Exception as exc:
|
||||
return f"[inline-shell error: {exc}]"
|
||||
|
||||
output = (completed.stdout or "").rstrip("\n")
|
||||
if not output and completed.stderr:
|
||||
output = completed.stderr.rstrip("\n")
|
||||
if len(output) > _INLINE_SHELL_MAX_OUTPUT:
|
||||
output = output[:_INLINE_SHELL_MAX_OUTPUT] + "...[truncated]"
|
||||
return output
|
||||
|
||||
|
||||
def expand_inline_shell(
|
||||
content: str,
|
||||
skill_dir: Path | None,
|
||||
timeout: int,
|
||||
) -> str:
|
||||
"""Replace every !`cmd` snippet in ``content`` with its stdout.
|
||||
|
||||
Runs each snippet with the skill directory as CWD so relative paths in
|
||||
the snippet work the way the author expects.
|
||||
"""
|
||||
if "!`" not in content:
|
||||
return content
|
||||
|
||||
def _replace(match: re.Match) -> str:
|
||||
cmd = match.group(1).strip()
|
||||
if not cmd:
|
||||
return ""
|
||||
return run_inline_shell(cmd, skill_dir, timeout)
|
||||
|
||||
return _INLINE_SHELL_RE.sub(_replace, content)
|
||||
|
||||
|
||||
def preprocess_skill_content(
|
||||
content: str,
|
||||
skill_dir: Path | None,
|
||||
session_id: str | None = None,
|
||||
skills_cfg: dict | None = None,
|
||||
) -> str:
|
||||
"""Apply configured SKILL.md template and inline-shell preprocessing."""
|
||||
if not content:
|
||||
return content
|
||||
|
||||
cfg = skills_cfg if isinstance(skills_cfg, dict) else load_skills_config()
|
||||
if cfg.get("template_vars", True):
|
||||
content = substitute_template_vars(content, skill_dir, session_id)
|
||||
if cfg.get("inline_shell", False):
|
||||
timeout = int(cfg.get("inline_shell_timeout", 10) or 10)
|
||||
content = expand_inline_shell(content, skill_dir, timeout)
|
||||
return content
|
||||
@@ -6,18 +6,12 @@ adds latency to the user-facing reply.
|
||||
|
||||
import logging
|
||||
import threading
|
||||
from typing import Callable, Optional
|
||||
from typing import Optional
|
||||
|
||||
from agent.auxiliary_client import call_llm
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Callback signature: (task_name, exception) -> None. Used to surface
|
||||
# auxiliary failures to the user through AIAgent._emit_auxiliary_failure
|
||||
# so silent-drops (e.g. OpenRouter 402 exhausting the fallback chain)
|
||||
# become visible instead of piling up as NULL session titles.
|
||||
FailureCallback = Callable[[str, BaseException], None]
|
||||
|
||||
_TITLE_PROMPT = (
|
||||
"Generate a short, descriptive title (3-7 words) for a conversation that starts with the "
|
||||
"following exchange. The title should capture the main topic or intent. "
|
||||
@@ -25,23 +19,11 @@ _TITLE_PROMPT = (
|
||||
)
|
||||
|
||||
|
||||
def generate_title(
|
||||
user_message: str,
|
||||
assistant_response: str,
|
||||
timeout: float = 30.0,
|
||||
failure_callback: Optional[FailureCallback] = None,
|
||||
main_runtime: dict = None,
|
||||
) -> Optional[str]:
|
||||
def generate_title(user_message: str, assistant_response: str, timeout: float = 30.0) -> Optional[str]:
|
||||
"""Generate a session title from the first exchange.
|
||||
|
||||
Uses the main runtime's model when available, falling back to the
|
||||
auxiliary LLM client (cheapest/fastest available model).
|
||||
Uses the auxiliary LLM client (cheapest/fastest available model).
|
||||
Returns the title string or None on failure.
|
||||
|
||||
``failure_callback`` is invoked with ``(task, exception)`` when the
|
||||
auxiliary call raises — the caller typically wires this to
|
||||
``AIAgent._emit_auxiliary_failure`` so the user sees a warning instead
|
||||
of silently accumulating untitled sessions.
|
||||
"""
|
||||
# Truncate long messages to keep the request small
|
||||
user_snippet = user_message[:500] if user_message else ""
|
||||
@@ -59,7 +41,6 @@ def generate_title(
|
||||
max_tokens=500,
|
||||
temperature=0.3,
|
||||
timeout=timeout,
|
||||
main_runtime=main_runtime,
|
||||
)
|
||||
title = (response.choices[0].message.content or "").strip()
|
||||
# Clean up: remove quotes, trailing punctuation, prefixes like "Title: "
|
||||
@@ -71,15 +52,7 @@ def generate_title(
|
||||
title = title[:77] + "..."
|
||||
return title if title else None
|
||||
except Exception as e:
|
||||
# Log at WARNING so this shows up in agent.log without debug mode.
|
||||
# Full detail at debug level for operators who need the stack.
|
||||
logger.warning("Title generation failed: %s", e)
|
||||
logger.debug("Title generation traceback", exc_info=True)
|
||||
if failure_callback is not None:
|
||||
try:
|
||||
failure_callback("title generation", e)
|
||||
except Exception:
|
||||
logger.debug("Title generation failure_callback raised", exc_info=True)
|
||||
logger.debug("Title generation failed: %s", e)
|
||||
return None
|
||||
|
||||
|
||||
@@ -88,8 +61,6 @@ def auto_title_session(
|
||||
session_id: str,
|
||||
user_message: str,
|
||||
assistant_response: str,
|
||||
failure_callback: Optional[FailureCallback] = None,
|
||||
main_runtime: dict = None,
|
||||
) -> None:
|
||||
"""Generate and set a session title if one doesn't already exist.
|
||||
|
||||
@@ -110,9 +81,7 @@ def auto_title_session(
|
||||
except Exception:
|
||||
return
|
||||
|
||||
title = generate_title(
|
||||
user_message, assistant_response, failure_callback=failure_callback, main_runtime=main_runtime
|
||||
)
|
||||
title = generate_title(user_message, assistant_response)
|
||||
if not title:
|
||||
return
|
||||
|
||||
@@ -129,8 +98,6 @@ def maybe_auto_title(
|
||||
user_message: str,
|
||||
assistant_response: str,
|
||||
conversation_history: list,
|
||||
failure_callback: Optional[FailureCallback] = None,
|
||||
main_runtime: dict = None,
|
||||
) -> None:
|
||||
"""Fire-and-forget title generation after the first exchange.
|
||||
|
||||
@@ -152,7 +119,6 @@ def maybe_auto_title(
|
||||
thread = threading.Thread(
|
||||
target=auto_title_session,
|
||||
args=(session_db, session_id, user_message, assistant_response),
|
||||
kwargs={"failure_callback": failure_callback, "main_runtime": main_runtime},
|
||||
daemon=True,
|
||||
name="auto-title",
|
||||
)
|
||||
|
||||
@@ -23,14 +23,9 @@ def get_transport(api_mode: str):
|
||||
This allows gradual migration — call sites can check for None
|
||||
and fall back to the legacy code path.
|
||||
"""
|
||||
cls = _REGISTRY.get(api_mode)
|
||||
if cls is None:
|
||||
# The registry can be partially populated when a specific transport
|
||||
# module was imported directly (for example chat_completions before
|
||||
# codex). Discover on misses, not only when the registry is empty, so
|
||||
# test/order-dependent imports do not make valid api_modes unavailable.
|
||||
if not _REGISTRY:
|
||||
_discover_transports()
|
||||
cls = _REGISTRY.get(api_mode)
|
||||
cls = _REGISTRY.get(api_mode)
|
||||
if cls is None:
|
||||
return None
|
||||
return cls()
|
||||
|
||||
@@ -85,6 +85,9 @@ class AnthropicTransport(ProviderTransport):
|
||||
from agent.anthropic_adapter import _to_plain_data
|
||||
from agent.transports.types import ToolCall
|
||||
|
||||
strip_tool_prefix = kwargs.get("strip_tool_prefix", False)
|
||||
_MCP_PREFIX = "mcp_"
|
||||
|
||||
text_parts = []
|
||||
reasoning_parts = []
|
||||
reasoning_details = []
|
||||
@@ -99,10 +102,13 @@ class AnthropicTransport(ProviderTransport):
|
||||
if isinstance(block_dict, dict):
|
||||
reasoning_details.append(block_dict)
|
||||
elif block.type == "tool_use":
|
||||
name = block.name
|
||||
if strip_tool_prefix and name.startswith(_MCP_PREFIX):
|
||||
name = name[len(_MCP_PREFIX):]
|
||||
tool_calls.append(
|
||||
ToolCall(
|
||||
id=block.id,
|
||||
name=block.name,
|
||||
name=name,
|
||||
arguments=json.dumps(block.input),
|
||||
)
|
||||
)
|
||||
|
||||
@@ -12,65 +12,12 @@ reasoning configuration, temperature handling, and extra_body assembly.
|
||||
import copy
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from agent.lmstudio_reasoning import resolve_lmstudio_effort
|
||||
from agent.moonshot_schema import is_moonshot_model, sanitize_moonshot_tools
|
||||
from agent.prompt_builder import DEVELOPER_ROLE_MODELS
|
||||
from agent.transports.base import ProviderTransport
|
||||
from agent.transports.types import NormalizedResponse, ToolCall, Usage
|
||||
|
||||
|
||||
def _build_gemini_thinking_config(model: str, reasoning_config: dict | None) -> dict | None:
|
||||
"""Translate Hermes/OpenRouter-style reasoning config to Gemini thinkingConfig.
|
||||
|
||||
Gemini native/cloud-code adapters do not read ``extra_body.reasoning``.
|
||||
They only inspect ``extra_body.thinking_config`` / ``thinkingConfig`` and
|
||||
then request thought parts with ``includeThoughts`` enabled.
|
||||
"""
|
||||
if reasoning_config is None or not isinstance(reasoning_config, dict):
|
||||
return None
|
||||
|
||||
if reasoning_config.get("enabled") is False:
|
||||
# Gemini can hide thought parts even when internal thinking still
|
||||
# happens; omit thinkingLevel to avoid model-specific validation quirks.
|
||||
return {"includeThoughts": False}
|
||||
|
||||
effort = str(reasoning_config.get("effort", "medium") or "medium").strip().lower()
|
||||
if effort == "none":
|
||||
return {"includeThoughts": False}
|
||||
|
||||
thinking_config: Dict[str, Any] = {"includeThoughts": True}
|
||||
normalized_model = (model or "").strip().lower()
|
||||
if normalized_model.startswith("google/"):
|
||||
normalized_model = normalized_model.split("/", 1)[1]
|
||||
|
||||
# Gemini 2.5 accepts thinkingBudget; don't guess a budget from Hermes'
|
||||
# coarse effort levels. ``includeThoughts`` alone is enough to surface
|
||||
# thought parts without risking request validation errors.
|
||||
if normalized_model.startswith("gemini-2.5-"):
|
||||
return thinking_config
|
||||
|
||||
if effort not in {"minimal", "low", "medium", "high", "xhigh"}:
|
||||
effort = "medium"
|
||||
|
||||
# Gemini 3 Flash documents low/medium/high thinking levels; Gemini 3 Pro
|
||||
# is stricter (low/high). Clamp Hermes' wider effort set to what each
|
||||
# family accepts so we never forward an undocumented level verbatim.
|
||||
if normalized_model.startswith(("gemini-3", "gemini-3.1")):
|
||||
if "flash" in normalized_model:
|
||||
if effort in {"minimal", "low"}:
|
||||
thinking_config["thinkingLevel"] = "low"
|
||||
elif effort in {"high", "xhigh"}:
|
||||
thinking_config["thinkingLevel"] = "high"
|
||||
else:
|
||||
thinking_config["thinkingLevel"] = "medium"
|
||||
elif "pro" in normalized_model:
|
||||
thinking_config["thinkingLevel"] = (
|
||||
"high" if effort in {"high", "xhigh"} else "low"
|
||||
)
|
||||
|
||||
return thinking_config
|
||||
|
||||
|
||||
class ChatCompletionsTransport(ProviderTransport):
|
||||
"""Transport for api_mode='chat_completions'.
|
||||
|
||||
@@ -84,15 +31,15 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
def convert_messages(self, messages: List[Dict[str, Any]], **kwargs) -> List[Dict[str, Any]]:
|
||||
"""Messages are already in OpenAI format — sanitize Codex leaks only.
|
||||
|
||||
Strips Codex Responses API fields (``codex_reasoning_items`` /
|
||||
``codex_message_items`` on the message, ``call_id``/``response_item_id``
|
||||
on tool_calls) that strict chat-completions providers reject with 400/422.
|
||||
Strips Codex Responses API fields (``codex_reasoning_items`` on the
|
||||
message, ``call_id``/``response_item_id`` on tool_calls) that strict
|
||||
chat-completions providers reject with 400/422.
|
||||
"""
|
||||
needs_sanitize = False
|
||||
for msg in messages:
|
||||
if not isinstance(msg, dict):
|
||||
continue
|
||||
if "codex_reasoning_items" in msg or "codex_message_items" in msg:
|
||||
if "codex_reasoning_items" in msg:
|
||||
needs_sanitize = True
|
||||
break
|
||||
tool_calls = msg.get("tool_calls")
|
||||
@@ -112,7 +59,6 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
if not isinstance(msg, dict):
|
||||
continue
|
||||
msg.pop("codex_reasoning_items", None)
|
||||
msg.pop("codex_message_items", None)
|
||||
tool_calls = msg.get("tool_calls")
|
||||
if isinstance(tool_calls, list):
|
||||
for tc in tool_calls:
|
||||
@@ -154,7 +100,6 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
is_github_models: bool
|
||||
is_nvidia_nim: bool
|
||||
is_kimi: bool
|
||||
is_lmstudio: bool
|
||||
is_custom_provider: bool
|
||||
ollama_num_ctx: int | None
|
||||
# Provider routing
|
||||
@@ -168,7 +113,6 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
# Reasoning
|
||||
supports_reasoning: bool
|
||||
github_reasoning_extra: dict | None
|
||||
lmstudio_reasoning_options: list[str] | None # raw allowed_options from /api/v1/models
|
||||
# Claude on OpenRouter/Nous max output
|
||||
anthropic_max_output: int | None
|
||||
# Extra
|
||||
@@ -243,7 +187,6 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
anthropic_max_out = params.get("anthropic_max_output")
|
||||
is_nvidia_nim = params.get("is_nvidia_nim", False)
|
||||
is_kimi = params.get("is_kimi", False)
|
||||
is_tokenhub = params.get("is_tokenhub", False)
|
||||
reasoning_config = params.get("reasoning_config")
|
||||
|
||||
if ephemeral is not None and max_tokens_fn:
|
||||
@@ -275,40 +218,12 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
_kimi_effort = _e
|
||||
api_kwargs["reasoning_effort"] = _kimi_effort
|
||||
|
||||
# Tencent TokenHub: top-level reasoning_effort (unless thinking disabled)
|
||||
if is_tokenhub:
|
||||
_tokenhub_thinking_off = bool(
|
||||
reasoning_config
|
||||
and isinstance(reasoning_config, dict)
|
||||
and reasoning_config.get("enabled") is False
|
||||
)
|
||||
if not _tokenhub_thinking_off:
|
||||
_tokenhub_effort = "high"
|
||||
if reasoning_config and isinstance(reasoning_config, dict):
|
||||
_e = (reasoning_config.get("effort") or "").strip().lower()
|
||||
if _e in ("low", "medium", "high"):
|
||||
_tokenhub_effort = _e
|
||||
api_kwargs["reasoning_effort"] = _tokenhub_effort
|
||||
|
||||
# LM Studio: top-level reasoning_effort. Only emit when the model
|
||||
# declares reasoning support via /api/v1/models capabilities (gated
|
||||
# upstream by params["supports_reasoning"]). resolve_lmstudio_effort
|
||||
# is shared with run_agent's summary path so both stay in sync.
|
||||
if params.get("is_lmstudio", False) and params.get("supports_reasoning", False):
|
||||
_lm_effort = resolve_lmstudio_effort(
|
||||
reasoning_config,
|
||||
params.get("lmstudio_reasoning_options"),
|
||||
)
|
||||
if _lm_effort is not None:
|
||||
api_kwargs["reasoning_effort"] = _lm_effort
|
||||
|
||||
# extra_body assembly
|
||||
extra_body: Dict[str, Any] = {}
|
||||
|
||||
is_openrouter = params.get("is_openrouter", False)
|
||||
is_nous = params.get("is_nous", False)
|
||||
is_github_models = params.get("is_github_models", False)
|
||||
provider_name = str(params.get("provider_name") or "").strip().lower()
|
||||
|
||||
provider_prefs = params.get("provider_preferences")
|
||||
if provider_prefs and is_openrouter:
|
||||
@@ -324,9 +239,8 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
"type": "enabled" if _kimi_thinking_enabled else "disabled",
|
||||
}
|
||||
|
||||
# Reasoning. LM Studio is handled above via top-level reasoning_effort,
|
||||
# so skip emitting extra_body.reasoning for it.
|
||||
if params.get("supports_reasoning", False) and not params.get("is_lmstudio", False):
|
||||
# Reasoning
|
||||
if params.get("supports_reasoning", False):
|
||||
if is_github_models:
|
||||
gh_reasoning = params.get("github_reasoning_extra")
|
||||
if gh_reasoning is not None:
|
||||
@@ -362,11 +276,6 @@ class ChatCompletionsTransport(ProviderTransport):
|
||||
if is_qwen:
|
||||
extra_body["vl_high_resolution_images"] = True
|
||||
|
||||
if provider_name in {"gemini", "google-gemini-cli"}:
|
||||
thinking_config = _build_gemini_thinking_config(model, reasoning_config)
|
||||
if thinking_config:
|
||||
extra_body["thinking_config"] = thinking_config
|
||||
|
||||
# Merge any pre-built extra_body additions
|
||||
additions = params.get("extra_body_additions")
|
||||
if additions:
|
||||
|
||||
@@ -8,7 +8,7 @@ streaming, or the _run_codex_stream() call path.
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from agent.transports.base import ProviderTransport
|
||||
from agent.transports.types import NormalizedResponse, ToolCall
|
||||
from agent.transports.types import NormalizedResponse, ToolCall, Usage
|
||||
|
||||
|
||||
class ResponsesApiTransport(ProviderTransport):
|
||||
@@ -120,24 +120,6 @@ class ResponsesApiTransport(ProviderTransport):
|
||||
if request_overrides:
|
||||
kwargs.update(request_overrides)
|
||||
|
||||
if is_codex_backend:
|
||||
prompt_cache_key = kwargs.get("prompt_cache_key")
|
||||
cache_scope_id = str(prompt_cache_key or session_id or "").strip()
|
||||
if cache_scope_id:
|
||||
existing_extra_headers = kwargs.get("extra_headers")
|
||||
merged_extra_headers: Dict[str, str] = {}
|
||||
if isinstance(existing_extra_headers, dict):
|
||||
merged_extra_headers.update(
|
||||
{
|
||||
str(key): str(value)
|
||||
for key, value in existing_extra_headers.items()
|
||||
if key and value is not None
|
||||
}
|
||||
)
|
||||
merged_extra_headers["session_id"] = cache_scope_id
|
||||
merged_extra_headers["x-client-request-id"] = cache_scope_id
|
||||
kwargs["extra_headers"] = merged_extra_headers
|
||||
|
||||
max_tokens = params.get("max_tokens")
|
||||
if max_tokens is not None and not is_codex_backend:
|
||||
kwargs["max_output_tokens"] = max_tokens
|
||||
@@ -151,6 +133,8 @@ class ResponsesApiTransport(ProviderTransport):
|
||||
"""Normalize Codex Responses API response to NormalizedResponse."""
|
||||
from agent.codex_responses_adapter import (
|
||||
_normalize_codex_response,
|
||||
_extract_responses_message_text,
|
||||
_extract_responses_reasoning_text,
|
||||
)
|
||||
|
||||
# _normalize_codex_response returns (SimpleNamespace, finish_reason_str)
|
||||
@@ -176,8 +160,6 @@ class ResponsesApiTransport(ProviderTransport):
|
||||
provider_data = {}
|
||||
if msg and hasattr(msg, "codex_reasoning_items") and msg.codex_reasoning_items:
|
||||
provider_data["codex_reasoning_items"] = msg.codex_reasoning_items
|
||||
if msg and hasattr(msg, "codex_message_items") and msg.codex_message_items:
|
||||
provider_data["codex_message_items"] = msg.codex_message_items
|
||||
if msg and hasattr(msg, "reasoning_details") and msg.reasoning_details:
|
||||
provider_data["reasoning_details"] = msg.reasoning_details
|
||||
|
||||
|
||||
@@ -97,7 +97,7 @@ class NormalizedResponse:
|
||||
Response-level ``provider_data`` examples:
|
||||
|
||||
* Anthropic: ``{"reasoning_details": [...]}``
|
||||
* Codex: ``{"codex_reasoning_items": [...], "codex_message_items": [...]}``
|
||||
* Codex: ``{"codex_reasoning_items": [...]}``
|
||||
* Others: ``None``
|
||||
"""
|
||||
|
||||
@@ -126,11 +126,6 @@ class NormalizedResponse:
|
||||
pd = self.provider_data or {}
|
||||
return pd.get("codex_reasoning_items")
|
||||
|
||||
@property
|
||||
def codex_message_items(self):
|
||||
pd = self.provider_data or {}
|
||||
return pd.get("codex_message_items")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Factory helpers
|
||||
|
||||
+6
-2
@@ -951,9 +951,13 @@ class BatchRunner:
|
||||
root_logger.setLevel(original_level)
|
||||
|
||||
# Aggregate all batch statistics and update checkpoint
|
||||
all_completed_prompts = list(completed_prompts_set)
|
||||
total_reasoning_stats = {"total_assistant_turns": 0, "turns_with_reasoning": 0, "turns_without_reasoning": 0}
|
||||
|
||||
|
||||
for batch_result in results:
|
||||
# Add newly completed prompts
|
||||
all_completed_prompts.extend(batch_result.get("completed_prompts", []))
|
||||
|
||||
# Aggregate tool stats
|
||||
for tool_name, stats in batch_result.get("tool_stats", {}).items():
|
||||
if tool_name not in total_tool_stats:
|
||||
@@ -973,7 +977,7 @@ class BatchRunner:
|
||||
|
||||
# Save final checkpoint (best-effort; incremental writes already happened)
|
||||
try:
|
||||
checkpoint_data["completed_prompts"] = sorted(completed_prompts_set)
|
||||
checkpoint_data["completed_prompts"] = all_completed_prompts
|
||||
self._save_checkpoint(checkpoint_data, lock=checkpoint_lock)
|
||||
except Exception as ckpt_err:
|
||||
print(f"âš ï¸ Warning: Failed to save final checkpoint: {ckpt_err}")
|
||||
|
||||
+16
-42
@@ -30,13 +30,14 @@ model:
|
||||
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY — https://ollama.com/settings)
|
||||
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
|
||||
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
|
||||
# "lmstudio" - LM Studio local server (optional: LM_API_KEY, defaults to http://127.0.0.1:1234/v1)
|
||||
#
|
||||
# Local servers (LM Studio, Ollama, vLLM, llama.cpp):
|
||||
# "custom" - Any other OpenAI-compatible endpoint. Set base_url below.
|
||||
# Aliases: "ollama", "vllm", "llamacpp" all map to "custom".
|
||||
# LM Studio is first-class and uses provider: "lmstudio".
|
||||
# It works with both no-auth and auth-enabled server modes.
|
||||
# "custom" - Any OpenAI-compatible endpoint. Set base_url below.
|
||||
# Aliases: "lmstudio", "ollama", "vllm", "llamacpp" all map to "custom".
|
||||
# Example for LM Studio:
|
||||
# provider: "lmstudio"
|
||||
# base_url: "http://localhost:1234/v1"
|
||||
# No API key needed — local servers typically ignore auth.
|
||||
#
|
||||
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
|
||||
provider: "auto"
|
||||
@@ -605,7 +606,6 @@ platform_toolsets:
|
||||
signal: [hermes-signal]
|
||||
homeassistant: [hermes-homeassistant]
|
||||
qqbot: [hermes-qqbot]
|
||||
yuanbao: [hermes-yuanbao]
|
||||
|
||||
# =============================================================================
|
||||
# Gateway Platform Settings
|
||||
@@ -790,16 +790,9 @@ code_execution:
|
||||
# Supports single tasks and batch mode (default 3 parallel, configurable).
|
||||
delegation:
|
||||
max_iterations: 50 # Max tool-calling turns per child (default: 50)
|
||||
# max_concurrent_children: 3 # Max parallel child agents per batch (default: 3, floor: 1, no ceiling).
|
||||
# WARNING: values above 10 multiply API cost linearly.
|
||||
# max_spawn_depth: 1 # Delegation tree depth cap (range: 1-3, default: 1 = flat).
|
||||
# Raise to 2 to allow workers to spawn their own subagents.
|
||||
# Requires role="orchestrator" on intermediate agents.
|
||||
# max_concurrent_children: 3 # Max parallel child agents (default: 3)
|
||||
# max_spawn_depth: 1 # Tree depth cap (1-3, default: 1 = flat). Raise to 2 or 3 to allow orchestrator children to spawn their own workers.
|
||||
# orchestrator_enabled: true # Kill switch for role="orchestrator" children (default: true).
|
||||
# subagent_auto_approve: false # When a subagent hits a dangerous-command approval prompt, auto-deny (default: false)
|
||||
# or auto-approve "once" (true) instead of blocking on stdin.
|
||||
# The parent TUI owns stdin, so blocking would deadlock; non-interactive resolution is required.
|
||||
# Both choices emit a logger.warning audit line. Flip to true only for cron/batch pipelines.
|
||||
# inherit_mcp_toolsets: true # When explicit child toolsets are narrowed, also keep the parent's MCP toolsets (default: true). Set false for strict intersection.
|
||||
# model: "google/gemini-3-flash-preview" # Override model for subagents (empty = inherit parent)
|
||||
# provider: "openrouter" # Override provider for subagents (empty = inherit parent)
|
||||
@@ -824,9 +817,7 @@ delegation:
|
||||
# Display
|
||||
# =============================================================================
|
||||
display:
|
||||
# Use compact banner mode (hides the ASCII-art banner, shows a single line).
|
||||
# true: Compact single-line banner
|
||||
# false: Full ASCII banner with tool/skill summary (default)
|
||||
# Use compact banner mode
|
||||
compact: false
|
||||
|
||||
# Tool progress display level (CLI and gateway)
|
||||
@@ -840,19 +831,12 @@ display:
|
||||
# Gateway-only natural mid-turn assistant updates.
|
||||
# When true, completed assistant status messages are sent as separate chat
|
||||
# messages. This is independent of tool_progress and gateway streaming.
|
||||
# true: Send mid-turn assistant updates as separate messages (default)
|
||||
# false: Only send the final response
|
||||
interim_assistant_messages: true
|
||||
|
||||
# What Enter does when Hermes is already busy (CLI and gateway platforms).
|
||||
# What Enter does when Hermes is already busy in the CLI.
|
||||
# interrupt: Interrupt the current run and redirect Hermes (default)
|
||||
# queue: Queue your message for the next turn
|
||||
# steer: Inject your message mid-run via /steer, arriving at the agent
|
||||
# after the next tool call — no interrupt, no role violation.
|
||||
# Falls back to 'queue' if the agent isn't running yet or if
|
||||
# images are attached (steer only carries text).
|
||||
# Ctrl+C (or /stop in gateway) always interrupts regardless of this setting.
|
||||
# Toggle at runtime with /busy <interrupt|queue|steer>.
|
||||
# Ctrl+C always interrupts regardless of this setting.
|
||||
busy_input_mode: interrupt
|
||||
|
||||
# Background process notifications (gateway/messaging only).
|
||||
@@ -868,22 +852,17 @@ display:
|
||||
# Play terminal bell when agent finishes a response.
|
||||
# Useful for long-running tasks — your terminal will ding when the agent is done.
|
||||
# Works over SSH. Most terminals can be configured to flash the taskbar or play a sound.
|
||||
# true: Ring the terminal bell on each response
|
||||
# false: Silent (default)
|
||||
bell_on_complete: false
|
||||
|
||||
# Show model reasoning/thinking before each response.
|
||||
# When enabled, a dim box shows the model's thought process above the response.
|
||||
# Toggle at runtime with /reasoning show or /reasoning hide.
|
||||
# true: Show the reasoning box
|
||||
# false: Hide reasoning (default)
|
||||
show_reasoning: false
|
||||
|
||||
# Stream tokens to the terminal as they arrive instead of waiting for the
|
||||
# full response. The response box opens on first token and text appears
|
||||
# line-by-line. Tool calls are still captured silently.
|
||||
# true: Stream tokens as they arrive (default)
|
||||
# false: Wait for the full response before rendering
|
||||
# Stream tokens to the terminal in real-time. Disable to wait for full responses.
|
||||
streaming: true
|
||||
|
||||
# ───────────────────────────────────────────────────────────────────────────
|
||||
@@ -893,15 +872,10 @@ display:
|
||||
# response box label, and branding text. Change at runtime with /skin <name>.
|
||||
#
|
||||
# Built-in skins:
|
||||
# default — Classic Hermes gold/kawaii
|
||||
# ares — Crimson/bronze war-god theme with spinner wings
|
||||
# mono — Clean grayscale monochrome
|
||||
# slate — Cool blue developer-focused
|
||||
# daylight — Bright light-mode theme
|
||||
# warm-lightmode — Warm paper-tone light-mode theme
|
||||
# poseidon — Sea-green/teal Olympian theme
|
||||
# sisyphus — Earthy stone-and-moss theme
|
||||
# charizard — Fiery orange dragon theme
|
||||
# default — Classic Hermes gold/kawaii
|
||||
# ares — Crimson/bronze war-god theme with spinner wings
|
||||
# mono — Clean grayscale monochrome
|
||||
# slate — Cool blue developer-focused
|
||||
#
|
||||
# Custom skins: drop a YAML file in ~/.hermes/skins/<name>.yaml
|
||||
# Schema (all fields optional, missing values inherit from default):
|
||||
|
||||
+6
-48
@@ -16,12 +16,11 @@ import uuid
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from hermes_constants import get_hermes_home
|
||||
from typing import Optional, Dict, List, Any, Union
|
||||
from typing import Optional, Dict, List, Any
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
from hermes_time import now as _hermes_now
|
||||
from utils import atomic_replace
|
||||
|
||||
try:
|
||||
from croniter import croniter
|
||||
@@ -312,12 +311,6 @@ def compute_next_run(schedule: Dict[str, Any], last_run_at: Optional[str] = None
|
||||
|
||||
elif schedule["kind"] == "cron":
|
||||
if not HAS_CRONITER:
|
||||
logger.warning(
|
||||
"Cannot compute next run for cron schedule %r: 'croniter' "
|
||||
"is not installed. Install the 'cron' extra (pip install "
|
||||
"'hermes-agent[cron]') to re-enable recurring cron jobs.",
|
||||
schedule.get("expr"),
|
||||
)
|
||||
return None
|
||||
cron = croniter(schedule["expr"], now)
|
||||
next_run = cron.get_next(datetime)
|
||||
@@ -368,7 +361,7 @@ def save_jobs(jobs: List[Dict[str, Any]]):
|
||||
json.dump({"jobs": jobs, "updated_at": _hermes_now().isoformat()}, f, indent=2)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, JOBS_FILE)
|
||||
os.replace(tmp_path, JOBS_FILE)
|
||||
_secure_file(JOBS_FILE)
|
||||
except BaseException:
|
||||
try:
|
||||
@@ -424,7 +417,6 @@ def create_job(
|
||||
provider: Optional[str] = None,
|
||||
base_url: Optional[str] = None,
|
||||
script: Optional[str] = None,
|
||||
context_from: Optional[Union[str, List[str]]] = None,
|
||||
enabled_toolsets: Optional[List[str]] = None,
|
||||
workdir: Optional[str] = None,
|
||||
) -> Dict[str, Any]:
|
||||
@@ -446,9 +438,6 @@ def create_job(
|
||||
script: Optional path to a Python script whose stdout is injected into the
|
||||
prompt each run. The script runs before the agent turn, and its output
|
||||
is prepended as context. Useful for data collection / change detection.
|
||||
context_from: Optional job ID (or list of job IDs) whose most recent output
|
||||
is injected into the prompt as context before each run.
|
||||
Useful for chaining cron jobs: job A finds data, job B processes it.
|
||||
enabled_toolsets: Optional list of toolset names to restrict the agent to.
|
||||
When set, only tools from these toolsets are loaded, reducing
|
||||
token overhead. When omitted, all default tools are loaded.
|
||||
@@ -492,14 +481,6 @@ def create_job(
|
||||
normalized_toolsets = normalized_toolsets or None
|
||||
normalized_workdir = _normalize_workdir(workdir)
|
||||
|
||||
# Normalize context_from: accept str or list of str, store as list or None
|
||||
if isinstance(context_from, str):
|
||||
context_from = [context_from.strip()] if context_from.strip() else None
|
||||
elif isinstance(context_from, list):
|
||||
context_from = [str(j).strip() for j in context_from if str(j).strip()] or None
|
||||
else:
|
||||
context_from = None
|
||||
|
||||
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
|
||||
job = {
|
||||
"id": job_id,
|
||||
@@ -511,7 +492,6 @@ def create_job(
|
||||
"provider": normalized_provider,
|
||||
"base_url": normalized_base_url,
|
||||
"script": normalized_script,
|
||||
"context_from": context_from,
|
||||
"schedule": parsed_schedule,
|
||||
"schedule_display": parsed_schedule.get("display", schedule),
|
||||
"repeat": {
|
||||
@@ -705,32 +685,10 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
|
||||
# Compute next run
|
||||
job["next_run_at"] = compute_next_run(job["schedule"], now)
|
||||
|
||||
# If no next run, decide whether this is terminal completion
|
||||
# (one-shot) or a transient failure (recurring schedule couldn't
|
||||
# compute — e.g. 'croniter' missing from the runtime env).
|
||||
# Recurring jobs must NEVER be silently disabled: that turns a
|
||||
# missing runtime dep into "job completed" and the user's
|
||||
# schedule quietly goes off. See issue #16265.
|
||||
# If no next run (one-shot completed), disable
|
||||
if job["next_run_at"] is None:
|
||||
kind = job.get("schedule", {}).get("kind")
|
||||
if kind in ("cron", "interval"):
|
||||
job["state"] = "error"
|
||||
if not job.get("last_error"):
|
||||
job["last_error"] = (
|
||||
"Failed to compute next run for recurring "
|
||||
"schedule (is the 'croniter' package "
|
||||
"installed in the gateway's Python env?)"
|
||||
)
|
||||
logger.error(
|
||||
"Job '%s' (%s) could not compute next_run_at; "
|
||||
"leaving enabled and marking state=error so the "
|
||||
"job is not silently disabled.",
|
||||
job.get("name", job["id"]),
|
||||
kind,
|
||||
)
|
||||
else:
|
||||
job["enabled"] = False
|
||||
job["state"] = "completed"
|
||||
job["enabled"] = False
|
||||
job["state"] = "completed"
|
||||
elif job.get("state") != "paused":
|
||||
job["state"] = "scheduled"
|
||||
|
||||
@@ -864,7 +822,7 @@ def save_job_output(job_id: str, output: str):
|
||||
f.write(output)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, output_file)
|
||||
os.replace(tmp_path, output_file)
|
||||
_secure_file(output_file)
|
||||
except BaseException:
|
||||
try:
|
||||
|
||||
+5
-80
@@ -77,7 +77,7 @@ _KNOWN_DELIVERY_PLATFORMS = frozenset({
|
||||
"telegram", "discord", "slack", "whatsapp", "signal",
|
||||
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
|
||||
"wecom", "wecom_callback", "weixin", "sms", "email", "webhook", "bluebubbles",
|
||||
"qqbot", "yuanbao",
|
||||
"qqbot",
|
||||
})
|
||||
|
||||
# Platforms that support a configured cron/notification home target, mapped to
|
||||
@@ -198,9 +198,7 @@ def _resolve_single_delivery_target(job: dict, deliver_value: str) -> Optional[d
|
||||
if resolved:
|
||||
parsed_chat_id, parsed_thread_id, resolved_is_explicit = _parse_target_ref(platform_key, resolved)
|
||||
if resolved_is_explicit:
|
||||
chat_id = parsed_chat_id
|
||||
if parsed_thread_id is not None:
|
||||
thread_id = parsed_thread_id
|
||||
chat_id, thread_id = parsed_chat_id, parsed_thread_id
|
||||
else:
|
||||
chat_id = resolved
|
||||
except Exception:
|
||||
@@ -339,7 +337,6 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
|
||||
"sms": Platform.SMS,
|
||||
"bluebubbles": Platform.BLUEBUBBLES,
|
||||
"qqbot": Platform.QQBOT,
|
||||
"yuanbao": Platform.YUANBAO,
|
||||
}
|
||||
|
||||
# Optionally wrap the content with a header/footer so the user knows this
|
||||
@@ -674,51 +671,10 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
|
||||
f"{prompt}"
|
||||
)
|
||||
|
||||
# Inject output from referenced cron jobs as context.
|
||||
context_from = job.get("context_from")
|
||||
if context_from:
|
||||
from cron.jobs import OUTPUT_DIR
|
||||
if isinstance(context_from, str):
|
||||
context_from = [context_from]
|
||||
for source_job_id in context_from:
|
||||
# Guard against path traversal — valid job IDs are 12-char hex strings
|
||||
if not source_job_id or not all(c in "0123456789abcdef" for c in source_job_id):
|
||||
logger.warning("context_from: skipping invalid job_id %r", source_job_id)
|
||||
continue
|
||||
try:
|
||||
job_output_dir = OUTPUT_DIR / source_job_id
|
||||
if not job_output_dir.exists():
|
||||
continue # silent skip — no output yet
|
||||
output_files = sorted(
|
||||
job_output_dir.glob("*.md"),
|
||||
key=lambda f: f.stat().st_mtime,
|
||||
reverse=True,
|
||||
)
|
||||
if not output_files:
|
||||
continue # silent skip — no output yet
|
||||
latest_output = output_files[0].read_text(encoding="utf-8").strip()
|
||||
# Truncate to 8K characters to avoid prompt bloat
|
||||
_MAX_CONTEXT_CHARS = 8000
|
||||
if len(latest_output) > _MAX_CONTEXT_CHARS:
|
||||
latest_output = latest_output[:_MAX_CONTEXT_CHARS] + "\n\n[... output truncated ...]"
|
||||
if latest_output:
|
||||
prompt = (
|
||||
f"## Output from job '{source_job_id}'\n"
|
||||
"The following is the most recent output from a preceding "
|
||||
"cron job. Use it as context for your analysis.\n\n"
|
||||
f"```\n{latest_output}\n```\n\n"
|
||||
f"{prompt}"
|
||||
)
|
||||
else:
|
||||
continue # silent skip — empty output
|
||||
except (OSError, PermissionError) as e:
|
||||
logger.warning("context_from: failed to read output for job %r: %s", source_job_id, e)
|
||||
# silent skip — do not pollute the prompt with error messages
|
||||
|
||||
# Always prepend cron execution guidance so the agent knows how
|
||||
# delivery works and can suppress delivery when appropriate.
|
||||
cron_hint = (
|
||||
"[IMPORTANT: You are running as a scheduled cron job. "
|
||||
"[SYSTEM: You are running as a scheduled cron job. "
|
||||
"DELIVERY: Your final response will be automatically delivered "
|
||||
"to the user — do NOT use send_message or try to deliver "
|
||||
"the output yourself. Just produce your report/output as your "
|
||||
@@ -754,7 +710,7 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
|
||||
parts.append("")
|
||||
parts.extend(
|
||||
[
|
||||
f'[IMPORTANT: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
|
||||
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
|
||||
"",
|
||||
content,
|
||||
]
|
||||
@@ -762,7 +718,7 @@ def _build_job_prompt(job: dict, prerun_script: Optional[tuple] = None) -> str:
|
||||
|
||||
if skipped:
|
||||
notice = (
|
||||
f"[IMPORTANT: The following skill(s) were listed for this job but could not be found "
|
||||
f"[SYSTEM: The following skill(s) were listed for this job but could not be found "
|
||||
f"and were skipped: {', '.join(skipped)}. "
|
||||
f"Start your response with a brief notice so the user is aware, e.g.: "
|
||||
f"'⚠️ Skill(s) not found and skipped: {', '.join(skipped)}']"
|
||||
@@ -824,8 +780,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
|
||||
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
|
||||
logger.info("Prompt: %s", prompt[:100])
|
||||
|
||||
agent = None
|
||||
|
||||
# Mark this as a cron session so the approval system can apply cron_mode.
|
||||
# This env var is process-wide and persists for the lifetime of the
|
||||
# scheduler process — every job this process runs is a cron job.
|
||||
@@ -1174,24 +1128,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
|
||||
_session_db.close()
|
||||
except (Exception, KeyboardInterrupt) as e:
|
||||
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
|
||||
# Release subprocesses, terminal sandboxes, browser daemons, and the
|
||||
# main OpenAI/httpx client held by this ephemeral cron agent. Without
|
||||
# this, a gateway that ticks cron every N minutes leaks fds per job
|
||||
# until it hits EMFILE (#10200 / "too many open files").
|
||||
try:
|
||||
if agent is not None:
|
||||
agent.close()
|
||||
except (Exception, KeyboardInterrupt) as e:
|
||||
logger.debug("Job '%s': failed to close agent resources: %s", job_id, e)
|
||||
# Each cron run spins up a short-lived worker thread whose event loop
|
||||
# dies as soon as the ``ThreadPoolExecutor`` shuts down. Any async
|
||||
# httpx clients cached under that loop are now unusable — reap them
|
||||
# so their transports don't accumulate in the process-global cache.
|
||||
try:
|
||||
from agent.auxiliary_client import cleanup_stale_async_clients
|
||||
cleanup_stale_async_clients()
|
||||
except Exception as e:
|
||||
logger.debug("Job '%s': failed to reap stale auxiliary clients: %s", job_id, e)
|
||||
|
||||
|
||||
def tick(verbose: bool = True, adapters=None, loop=None) -> int:
|
||||
@@ -1331,17 +1267,6 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
|
||||
_futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
|
||||
_results.extend(f.result() for f in _futures)
|
||||
|
||||
# Best-effort sweep of MCP stdio subprocesses that survived their
|
||||
# session teardown during this tick. Runs AFTER every job has
|
||||
# finished so active sessions (including live user chats) are
|
||||
# never touched — only PIDs explicitly detected as orphans in
|
||||
# tools.mcp_tool._run_stdio's finally block are reaped.
|
||||
try:
|
||||
from tools.mcp_tool import _kill_orphaned_mcp_children
|
||||
_kill_orphaned_mcp_children()
|
||||
except Exception as _e:
|
||||
logger.debug("Post-tick MCP orphan cleanup failed: %s", _e)
|
||||
|
||||
return sum(_results)
|
||||
finally:
|
||||
if fcntl:
|
||||
|
||||
@@ -41,15 +41,6 @@ if [ "$(id -u)" = "0" ]; then
|
||||
echo "Warning: chown failed (rootless container?) — continuing anyway"
|
||||
fi
|
||||
|
||||
# Ensure config.yaml is readable by the hermes runtime user even if it was
|
||||
# edited on the host after initial ownership setup. Must run here (as root)
|
||||
# rather than after the gosu drop, otherwise a non-root caller like
|
||||
# `docker run -u $(id -u):$(id -g)` hits "Operation not permitted" (#15865).
|
||||
if [ -f "$HERMES_HOME/config.yaml" ]; then
|
||||
chown hermes:hermes "$HERMES_HOME/config.yaml" 2>/dev/null || true
|
||||
chmod 640 "$HERMES_HOME/config.yaml" 2>/dev/null || true
|
||||
fi
|
||||
|
||||
echo "Dropping root privileges"
|
||||
exec gosu hermes "$0" "$@"
|
||||
fi
|
||||
@@ -76,6 +67,13 @@ if [ ! -f "$HERMES_HOME/config.yaml" ]; then
|
||||
cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
|
||||
fi
|
||||
|
||||
# Ensure the main config file remains accessible to the hermes runtime user
|
||||
# even if it was edited on the host after initial ownership setup.
|
||||
if [ -f "$HERMES_HOME/config.yaml" ]; then
|
||||
chown hermes:hermes "$HERMES_HOME/config.yaml"
|
||||
chmod 640 "$HERMES_HOME/config.yaml"
|
||||
fi
|
||||
|
||||
# SOUL.md
|
||||
if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
|
||||
cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
|
||||
|
||||
@@ -36,7 +36,6 @@
|
||||
|
||||
imports = [
|
||||
./nix/packages.nix
|
||||
./nix/overlays.nix
|
||||
./nix/nixosModules.nix
|
||||
./nix/checks.nix
|
||||
./nix/devShell.nix
|
||||
|
||||
@@ -0,0 +1,85 @@
|
||||
"""Built-in boot-md hook — run ~/.hermes/BOOT.md on gateway startup.
|
||||
|
||||
This hook is always registered. It silently skips if no BOOT.md exists.
|
||||
To activate, create ``~/.hermes/BOOT.md`` with instructions for the
|
||||
agent to execute on every gateway restart.
|
||||
|
||||
Example BOOT.md::
|
||||
|
||||
# Startup Checklist
|
||||
|
||||
1. Check if any cron jobs failed overnight
|
||||
2. Send a status update to Discord #general
|
||||
3. If there are errors in /opt/app/deploy.log, summarize them
|
||||
|
||||
The agent runs in a background thread so it doesn't block gateway
|
||||
startup. If nothing needs attention, it replies with [SILENT] to
|
||||
suppress delivery.
|
||||
"""
|
||||
|
||||
import logging
|
||||
import threading
|
||||
|
||||
logger = logging.getLogger("hooks.boot-md")
|
||||
|
||||
from hermes_constants import get_hermes_home
|
||||
HERMES_HOME = get_hermes_home()
|
||||
BOOT_FILE = HERMES_HOME / "BOOT.md"
|
||||
|
||||
|
||||
def _build_boot_prompt(content: str) -> str:
|
||||
"""Wrap BOOT.md content in a system-level instruction."""
|
||||
return (
|
||||
"You are running a startup boot checklist. Follow the BOOT.md "
|
||||
"instructions below exactly.\n\n"
|
||||
"---\n"
|
||||
f"{content}\n"
|
||||
"---\n\n"
|
||||
"Execute each instruction. If you need to send a message to a "
|
||||
"platform, use the send_message tool.\n"
|
||||
"If nothing needs attention and there is nothing to report, "
|
||||
"reply with ONLY: [SILENT]"
|
||||
)
|
||||
|
||||
|
||||
def _run_boot_agent(content: str) -> None:
|
||||
"""Spawn a one-shot agent session to execute the boot instructions."""
|
||||
try:
|
||||
from run_agent import AIAgent
|
||||
|
||||
prompt = _build_boot_prompt(content)
|
||||
agent = AIAgent(
|
||||
quiet_mode=True,
|
||||
skip_context_files=True,
|
||||
skip_memory=True,
|
||||
max_iterations=20,
|
||||
)
|
||||
result = agent.run_conversation(prompt)
|
||||
response = result.get("final_response", "")
|
||||
if response and "[SILENT]" not in response:
|
||||
logger.info("boot-md completed: %s", response[:200])
|
||||
else:
|
||||
logger.info("boot-md completed (nothing to report)")
|
||||
except Exception as e:
|
||||
logger.error("boot-md agent failed: %s", e)
|
||||
|
||||
|
||||
async def handle(event_type: str, context: dict) -> None:
|
||||
"""Gateway startup handler — run BOOT.md if it exists."""
|
||||
if not BOOT_FILE.exists():
|
||||
return
|
||||
|
||||
content = BOOT_FILE.read_text(encoding="utf-8").strip()
|
||||
if not content:
|
||||
return
|
||||
|
||||
logger.info("Running BOOT.md (%d chars)", len(content))
|
||||
|
||||
# Run in a background thread so we don't block gateway startup.
|
||||
thread = threading.Thread(
|
||||
target=_run_boot_agent,
|
||||
args=(content,),
|
||||
name="boot-md",
|
||||
daemon=True,
|
||||
)
|
||||
thread.start()
|
||||
@@ -57,7 +57,7 @@ def _session_entry_name(origin: Dict[str, Any]) -> str:
|
||||
# Build / refresh
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
async def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
|
||||
def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
Build a channel directory from connected platform adapters and session data.
|
||||
|
||||
@@ -72,7 +72,7 @@ async def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
|
||||
if platform == Platform.DISCORD:
|
||||
platforms["discord"] = _build_discord(adapter)
|
||||
elif platform == Platform.SLACK:
|
||||
platforms["slack"] = await _build_slack(adapter)
|
||||
platforms["slack"] = _build_slack(adapter)
|
||||
except Exception as e:
|
||||
logger.warning("Channel directory: failed to build %s: %s", platform.value, e)
|
||||
|
||||
@@ -136,66 +136,21 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
|
||||
return channels
|
||||
|
||||
|
||||
async def _build_slack(adapter) -> List[Dict[str, Any]]:
|
||||
"""List Slack channels the bot has joined across all workspaces.
|
||||
|
||||
Uses ``users.conversations`` against each workspace's web client. Pulls
|
||||
public + private channels the bot is a member of, then merges in DMs
|
||||
discovered from session history (IMs aren't useful to enumerate
|
||||
proactively).
|
||||
"""
|
||||
team_clients = getattr(adapter, "_team_clients", None) or {}
|
||||
if not team_clients:
|
||||
def _build_slack(adapter) -> List[Dict[str, str]]:
|
||||
"""List Slack channels the bot has joined."""
|
||||
# Slack adapter may expose a web client
|
||||
client = getattr(adapter, "_app", None) or getattr(adapter, "_client", None)
|
||||
if not client:
|
||||
return _build_from_sessions("slack")
|
||||
|
||||
channels: List[Dict[str, Any]] = []
|
||||
seen_ids: set = set()
|
||||
try:
|
||||
from tools.send_message_tool import _send_slack # noqa: F401
|
||||
# Use the Slack Web API directly if available
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
for team_id, client in team_clients.items():
|
||||
try:
|
||||
cursor: Optional[str] = None
|
||||
for _page in range(20): # safety cap on pagination
|
||||
response = await client.users_conversations(
|
||||
types="public_channel,private_channel",
|
||||
exclude_archived=True,
|
||||
limit=200,
|
||||
cursor=cursor,
|
||||
)
|
||||
if not response.get("ok"):
|
||||
logger.warning(
|
||||
"Channel directory: users.conversations not ok for team %s: %s",
|
||||
team_id,
|
||||
response.get("error", "unknown"),
|
||||
)
|
||||
break
|
||||
for ch in response.get("channels", []):
|
||||
cid = ch.get("id")
|
||||
name = ch.get("name")
|
||||
if not cid or not name or cid in seen_ids:
|
||||
continue
|
||||
seen_ids.add(cid)
|
||||
channels.append({
|
||||
"id": cid,
|
||||
"name": name,
|
||||
"type": "private" if ch.get("is_private") else "channel",
|
||||
})
|
||||
cursor = (response.get("response_metadata") or {}).get("next_cursor")
|
||||
if not cursor:
|
||||
break
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
"Channel directory: failed to list Slack channels for team %s: %s",
|
||||
team_id, e,
|
||||
)
|
||||
continue
|
||||
|
||||
# Merge in DM/group entries discovered from session history.
|
||||
for entry in _build_from_sessions("slack"):
|
||||
if entry.get("id") not in seen_ids:
|
||||
channels.append(entry)
|
||||
seen_ids.add(entry.get("id"))
|
||||
|
||||
return channels
|
||||
# Fallback to session data
|
||||
return _build_from_sessions("slack")
|
||||
|
||||
|
||||
def _build_from_sessions(platform_name: str) -> List[Dict[str, str]]:
|
||||
@@ -268,14 +223,6 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
|
||||
if not channels:
|
||||
return None
|
||||
|
||||
# 0. Exact ID match — case-sensitive, no normalization. Lets callers pass
|
||||
# raw platform IDs (e.g. Slack "C0B0QV5434G") even when the format guard
|
||||
# in _parse_target_ref hasn't recognized them as explicit.
|
||||
raw = name.strip()
|
||||
for ch in channels:
|
||||
if ch.get("id") == raw:
|
||||
return ch["id"]
|
||||
|
||||
query = _normalize_channel_query(name)
|
||||
|
||||
# 1. Exact name match, including the display labels shown by send_message(action="list")
|
||||
|
||||
+6
-92
@@ -67,7 +67,6 @@ class Platform(Enum):
|
||||
WEIXIN = "weixin"
|
||||
BLUEBUBBLES = "bluebubbles"
|
||||
QQBOT = "qqbot"
|
||||
YUANBAO = "yuanbao"
|
||||
|
||||
|
||||
@dataclass
|
||||
@@ -136,7 +135,7 @@ class SessionResetPolicy:
|
||||
mode=mode if mode is not None else "both",
|
||||
at_hour=at_hour if at_hour is not None else 4,
|
||||
idle_minutes=idle_minutes if idle_minutes is not None else 1440,
|
||||
notify=_coerce_bool(notify, True),
|
||||
notify=notify if notify is not None else True,
|
||||
notify_exclude_platforms=tuple(exclude) if exclude is not None else ("api_server", "webhook"),
|
||||
)
|
||||
|
||||
@@ -179,7 +178,7 @@ class PlatformConfig:
|
||||
home_channel = HomeChannel.from_dict(data["home_channel"])
|
||||
|
||||
return cls(
|
||||
enabled=_coerce_bool(data.get("enabled"), False),
|
||||
enabled=data.get("enabled", False),
|
||||
token=data.get("token"),
|
||||
api_key=data.get("api_key"),
|
||||
home_channel=home_channel,
|
||||
@@ -196,14 +195,6 @@ class StreamingConfig:
|
||||
edit_interval: float = 1.0 # Seconds between message edits (Telegram rate-limits at ~1/s)
|
||||
buffer_threshold: int = 40 # Chars before forcing an edit
|
||||
cursor: str = " ▉" # Cursor shown during streaming
|
||||
# Ported from openclaw/openclaw#72038. When >0, the final edit for
|
||||
# a long-running streamed response is delivered as a fresh message
|
||||
# if the original preview has been visible for at least this many
|
||||
# seconds, so the platform's visible timestamp reflects completion
|
||||
# time instead of the preview creation time. Currently applied to
|
||||
# Telegram only (other platforms ignore the setting). Default 60s
|
||||
# matches the OpenClaw rollout. Set to 0 to disable.
|
||||
fresh_final_after_seconds: float = 60.0
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
return {
|
||||
@@ -212,7 +203,6 @@ class StreamingConfig:
|
||||
"edit_interval": self.edit_interval,
|
||||
"buffer_threshold": self.buffer_threshold,
|
||||
"cursor": self.cursor,
|
||||
"fresh_final_after_seconds": self.fresh_final_after_seconds,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
@@ -225,9 +215,6 @@ class StreamingConfig:
|
||||
edit_interval=float(data.get("edit_interval", 1.0)),
|
||||
buffer_threshold=int(data.get("buffer_threshold", 40)),
|
||||
cursor=data.get("cursor", " ▉"),
|
||||
fresh_final_after_seconds=float(
|
||||
data.get("fresh_final_after_seconds", 60.0)
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -327,9 +314,6 @@ class GatewayConfig:
|
||||
# QQBot uses extra dict for app credentials
|
||||
elif platform == Platform.QQBOT and config.extra.get("app_id") and config.extra.get("client_secret"):
|
||||
connected.append(platform)
|
||||
# Yuanbao uses extra dict for app credentials
|
||||
elif platform == Platform.YUANBAO and config.extra.get("app_id") and config.extra.get("app_secret"):
|
||||
connected.append(platform)
|
||||
# DingTalk uses client_id/client_secret from config.extra or env vars
|
||||
elif platform == Platform.DINGTALK and (
|
||||
config.extra.get("client_id") or os.getenv("DINGTALK_CLIENT_ID")
|
||||
@@ -451,7 +435,7 @@ class GatewayConfig:
|
||||
reset_triggers=data.get("reset_triggers", ["/new", "/reset"]),
|
||||
quick_commands=quick_commands,
|
||||
sessions_dir=sessions_dir,
|
||||
always_log_local=_coerce_bool(data.get("always_log_local"), True),
|
||||
always_log_local=data.get("always_log_local", True),
|
||||
stt_enabled=_coerce_bool(stt_enabled, True),
|
||||
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
|
||||
thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
|
||||
@@ -566,8 +550,6 @@ def load_gateway_config() -> GatewayConfig:
|
||||
existing = {}
|
||||
# Deep-merge extra dicts so gateway.json defaults survive
|
||||
merged_extra = {**existing.get("extra", {}), **plat_block.get("extra", {})}
|
||||
if plat_name == Platform.SLACK.value and "enabled" in plat_block:
|
||||
merged_extra["_enabled_explicit"] = True
|
||||
merged = {**existing, **plat_block}
|
||||
if merged_extra:
|
||||
merged["extra"] = merged_extra
|
||||
@@ -588,8 +570,6 @@ def load_gateway_config() -> GatewayConfig:
|
||||
)
|
||||
if "reply_prefix" in platform_cfg:
|
||||
bridged["reply_prefix"] = platform_cfg["reply_prefix"]
|
||||
if "reply_in_thread" in platform_cfg:
|
||||
bridged["reply_in_thread"] = platform_cfg["reply_in_thread"]
|
||||
if "require_mention" in platform_cfg:
|
||||
bridged["require_mention"] = platform_cfg["require_mention"]
|
||||
if "free_response_channels" in platform_cfg:
|
||||
@@ -604,7 +584,7 @@ def load_gateway_config() -> GatewayConfig:
|
||||
bridged["group_policy"] = platform_cfg["group_policy"]
|
||||
if "group_allow_from" in platform_cfg:
|
||||
bridged["group_allow_from"] = platform_cfg["group_allow_from"]
|
||||
if plat in (Platform.DISCORD, Platform.SLACK) and "channel_skill_bindings" in platform_cfg:
|
||||
if plat == Platform.DISCORD and "channel_skill_bindings" in platform_cfg:
|
||||
bridged["channel_skill_bindings"] = platform_cfg["channel_skill_bindings"]
|
||||
if "channel_prompts" in platform_cfg:
|
||||
channel_prompts = platform_cfg["channel_prompts"]
|
||||
@@ -612,21 +592,16 @@ def load_gateway_config() -> GatewayConfig:
|
||||
bridged["channel_prompts"] = {str(k): v for k, v in channel_prompts.items()}
|
||||
else:
|
||||
bridged["channel_prompts"] = channel_prompts
|
||||
enabled_was_explicit = "enabled" in platform_cfg
|
||||
if not bridged and not enabled_was_explicit:
|
||||
if not bridged:
|
||||
continue
|
||||
plat_data = platforms_data.setdefault(plat.value, {})
|
||||
if not isinstance(plat_data, dict):
|
||||
plat_data = {}
|
||||
platforms_data[plat.value] = plat_data
|
||||
if enabled_was_explicit:
|
||||
plat_data["enabled"] = platform_cfg["enabled"]
|
||||
extra = plat_data.setdefault("extra", {})
|
||||
if not isinstance(extra, dict):
|
||||
extra = {}
|
||||
plat_data["extra"] = extra
|
||||
if plat == Platform.SLACK and enabled_was_explicit:
|
||||
extra["_enabled_explicit"] = True
|
||||
extra.update(bridged)
|
||||
|
||||
# Slack settings → env vars (env vars take precedence)
|
||||
@@ -634,8 +609,6 @@ def load_gateway_config() -> GatewayConfig:
|
||||
if isinstance(slack_cfg, dict):
|
||||
if "require_mention" in slack_cfg and not os.getenv("SLACK_REQUIRE_MENTION"):
|
||||
os.environ["SLACK_REQUIRE_MENTION"] = str(slack_cfg["require_mention"]).lower()
|
||||
if "strict_mention" in slack_cfg and not os.getenv("SLACK_STRICT_MENTION"):
|
||||
os.environ["SLACK_STRICT_MENTION"] = str(slack_cfg["strict_mention"]).lower()
|
||||
if "allow_bots" in slack_cfg and not os.getenv("SLACK_ALLOW_BOTS"):
|
||||
os.environ["SLACK_ALLOW_BOTS"] = str(slack_cfg["allow_bots"]).lower()
|
||||
frc = slack_cfg.get("free_response_channels")
|
||||
@@ -714,11 +687,6 @@ def load_gateway_config() -> GatewayConfig:
|
||||
os.environ["TELEGRAM_REACTIONS"] = str(telegram_cfg["reactions"]).lower()
|
||||
if "proxy_url" in telegram_cfg and not os.getenv("TELEGRAM_PROXY"):
|
||||
os.environ["TELEGRAM_PROXY"] = str(telegram_cfg["proxy_url"]).strip()
|
||||
if "group_allowed_chats" in telegram_cfg and not os.getenv("TELEGRAM_GROUP_ALLOWED_USERS"):
|
||||
gac = telegram_cfg["group_allowed_chats"]
|
||||
if isinstance(gac, list):
|
||||
gac = ",".join(str(v) for v in gac)
|
||||
os.environ["TELEGRAM_GROUP_ALLOWED_USERS"] = str(gac)
|
||||
if "disable_link_previews" in telegram_cfg:
|
||||
plat_data = platforms_data.setdefault(Platform.TELEGRAM.value, {})
|
||||
if not isinstance(plat_data, dict):
|
||||
@@ -945,20 +913,8 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
|
||||
slack_token = os.getenv("SLACK_BOT_TOKEN")
|
||||
if slack_token:
|
||||
if Platform.SLACK not in config.platforms:
|
||||
# No yaml config for Slack — env-only setup, enable it
|
||||
config.platforms[Platform.SLACK] = PlatformConfig()
|
||||
config.platforms[Platform.SLACK].enabled = True
|
||||
else:
|
||||
slack_config = config.platforms[Platform.SLACK]
|
||||
enabled_was_explicit = bool(slack_config.extra.pop("_enabled_explicit", False))
|
||||
if not slack_config.enabled and not enabled_was_explicit:
|
||||
# Top-level Slack settings such as channel prompts should not
|
||||
# turn an env-token setup into a disabled platform. Only an
|
||||
# explicit slack.enabled/platforms.slack.enabled false should.
|
||||
slack_config.enabled = True
|
||||
# If yaml config exists, respect its enabled flag (don't override
|
||||
# explicit enabled: false). Token is still stored so skills that
|
||||
# send Slack messages can use it without activating the gateway adapter.
|
||||
config.platforms[Platform.SLACK].enabled = True
|
||||
config.platforms[Platform.SLACK].token = slack_token
|
||||
slack_home = os.getenv("SLACK_HOME_CHANNEL")
|
||||
if slack_home and Platform.SLACK in config.platforms:
|
||||
@@ -1315,48 +1271,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
|
||||
name=os.getenv("QQBOT_HOME_CHANNEL_NAME") or os.getenv(qq_home_name_env, "Home"),
|
||||
)
|
||||
|
||||
# Yuanbao — YUANBAO_APP_ID preferred
|
||||
yuanbao_app_id = os.getenv("YUANBAO_APP_ID") or os.getenv("YUANBAO_APP_KEY")
|
||||
yuanbao_app_secret = os.getenv("YUANBAO_APP_SECRET")
|
||||
if yuanbao_app_id and yuanbao_app_secret:
|
||||
if Platform.YUANBAO not in config.platforms:
|
||||
config.platforms[Platform.YUANBAO] = PlatformConfig()
|
||||
config.platforms[Platform.YUANBAO].enabled = True
|
||||
extra = config.platforms[Platform.YUANBAO].extra
|
||||
extra["app_id"] = yuanbao_app_id
|
||||
extra["app_secret"] = yuanbao_app_secret
|
||||
yuanbao_bot_id = os.getenv("YUANBAO_BOT_ID")
|
||||
if yuanbao_bot_id:
|
||||
extra["bot_id"] = yuanbao_bot_id
|
||||
yuanbao_ws_url = os.getenv("YUANBAO_WS_URL")
|
||||
if yuanbao_ws_url:
|
||||
extra["ws_url"] = yuanbao_ws_url
|
||||
yuanbao_api_domain = os.getenv("YUANBAO_API_DOMAIN")
|
||||
if yuanbao_api_domain:
|
||||
extra["api_domain"] = yuanbao_api_domain
|
||||
yuanbao_route_env = os.getenv("YUANBAO_ROUTE_ENV")
|
||||
if yuanbao_route_env:
|
||||
extra["route_env"] = yuanbao_route_env
|
||||
yuanbao_home = os.getenv("YUANBAO_HOME_CHANNEL")
|
||||
if yuanbao_home:
|
||||
config.platforms[Platform.YUANBAO].home_channel = HomeChannel(
|
||||
platform=Platform.YUANBAO,
|
||||
chat_id=yuanbao_home,
|
||||
name=os.getenv("YUANBAO_HOME_CHANNEL_NAME", "Home"),
|
||||
)
|
||||
yuanbao_dm_policy = os.getenv("YUANBAO_DM_POLICY")
|
||||
if yuanbao_dm_policy:
|
||||
extra["dm_policy"] = yuanbao_dm_policy.strip().lower()
|
||||
yuanbao_dm_allow_from = os.getenv("YUANBAO_DM_ALLOW_FROM")
|
||||
if yuanbao_dm_allow_from:
|
||||
extra["dm_allow_from"] = yuanbao_dm_allow_from
|
||||
yuanbao_group_policy = os.getenv("YUANBAO_GROUP_POLICY")
|
||||
if yuanbao_group_policy:
|
||||
extra["group_policy"] = yuanbao_group_policy.strip().lower()
|
||||
yuanbao_group_allow_from = os.getenv("YUANBAO_GROUP_ALLOW_FROM")
|
||||
if yuanbao_group_allow_from:
|
||||
extra["group_allow_from"] = yuanbao_group_allow_from
|
||||
|
||||
# Session settings
|
||||
idle_minutes = os.getenv("SESSION_IDLE_MINUTES")
|
||||
if idle_minutes:
|
||||
|
||||
@@ -79,9 +79,7 @@ _PLATFORM_DEFAULTS: dict[str, dict[str, Any]] = {
|
||||
"discord": _TIER_HIGH,
|
||||
|
||||
# Tier 2 — edit support, often customer/workspace channels
|
||||
# Slack: tool_progress off by default — Bolt posts cannot be edited like CLI;
|
||||
# "new"/"all" spam permanent lines in channels (hermes-agent#14663).
|
||||
"slack": {**_TIER_MEDIUM, "tool_progress": "off"},
|
||||
"slack": _TIER_MEDIUM,
|
||||
"mattermost": _TIER_MEDIUM,
|
||||
"matrix": _TIER_MEDIUM,
|
||||
"feishu": _TIER_MEDIUM,
|
||||
|
||||
+12
-6
@@ -52,13 +52,19 @@ class HookRegistry:
|
||||
return list(self._loaded_hooks)
|
||||
|
||||
def _register_builtin_hooks(self) -> None:
|
||||
"""Register built-in hooks that are always active.
|
||||
"""Register built-in hooks that are always active."""
|
||||
try:
|
||||
from gateway.builtin_hooks.boot_md import handle as boot_md_handle
|
||||
|
||||
Currently empty — no shipped built-in hooks. Kept as the extension
|
||||
point for future always-on gateway hooks so they drop in without
|
||||
re-plumbing discover_and_load().
|
||||
"""
|
||||
return
|
||||
self._handlers.setdefault("gateway:startup", []).append(boot_md_handle)
|
||||
self._loaded_hooks.append({
|
||||
"name": "boot-md",
|
||||
"description": "Run ~/.hermes/BOOT.md on gateway startup",
|
||||
"events": ["gateway:startup"],
|
||||
"path": "(builtin)",
|
||||
})
|
||||
except Exception as e:
|
||||
print(f"[hooks] Could not load built-in boot-md hook: {e}", flush=True)
|
||||
|
||||
def discover_and_load(self) -> None:
|
||||
"""
|
||||
|
||||
+11
-57
@@ -28,7 +28,6 @@ def mirror_to_session(
|
||||
message_text: str,
|
||||
source_label: str = "cli",
|
||||
thread_id: Optional[str] = None,
|
||||
user_id: Optional[str] = None,
|
||||
) -> bool:
|
||||
"""
|
||||
Append a delivery-mirror message to the target session's transcript.
|
||||
@@ -40,20 +39,9 @@ def mirror_to_session(
|
||||
All errors are caught -- this is never fatal.
|
||||
"""
|
||||
try:
|
||||
session_id = _find_session_id(
|
||||
platform,
|
||||
str(chat_id),
|
||||
thread_id=thread_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
session_id = _find_session_id(platform, str(chat_id), thread_id=thread_id)
|
||||
if not session_id:
|
||||
logger.debug(
|
||||
"Mirror: no session found for %s:%s:%s:%s",
|
||||
platform,
|
||||
chat_id,
|
||||
thread_id,
|
||||
user_id,
|
||||
)
|
||||
logger.debug("Mirror: no session found for %s:%s:%s", platform, chat_id, thread_id)
|
||||
return False
|
||||
|
||||
mirror_msg = {
|
||||
@@ -71,33 +59,17 @@ def mirror_to_session(
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
"Mirror failed for %s:%s:%s:%s: %s",
|
||||
platform,
|
||||
chat_id,
|
||||
thread_id,
|
||||
user_id,
|
||||
e,
|
||||
)
|
||||
logger.debug("Mirror failed for %s:%s:%s: %s", platform, chat_id, thread_id, e)
|
||||
return False
|
||||
|
||||
|
||||
def _find_session_id(
|
||||
platform: str,
|
||||
chat_id: str,
|
||||
thread_id: Optional[str] = None,
|
||||
user_id: Optional[str] = None,
|
||||
) -> Optional[str]:
|
||||
def _find_session_id(platform: str, chat_id: str, thread_id: Optional[str] = None) -> Optional[str]:
|
||||
"""
|
||||
Find the active session_id for a platform + chat_id pair.
|
||||
|
||||
Scans sessions.json entries and matches where origin.chat_id == chat_id
|
||||
on the right platform. DM session keys don't embed the chat_id
|
||||
(e.g. "agent:main:telegram:dm"), so we check the origin dict.
|
||||
|
||||
When *user_id* is provided, prefer exact sender matches. If multiple
|
||||
same-chat candidates exist and none matches the user, return None instead
|
||||
of guessing and contaminating another participant's session.
|
||||
"""
|
||||
if not _SESSIONS_INDEX.exists():
|
||||
return None
|
||||
@@ -109,7 +81,8 @@ def _find_session_id(
|
||||
return None
|
||||
|
||||
platform_lower = platform.lower()
|
||||
candidates = []
|
||||
best_match = None
|
||||
best_updated = ""
|
||||
|
||||
for _key, entry in data.items():
|
||||
origin = entry.get("origin") or {}
|
||||
@@ -123,31 +96,12 @@ def _find_session_id(
|
||||
origin_thread_id = origin.get("thread_id")
|
||||
if thread_id is not None and str(origin_thread_id or "") != str(thread_id):
|
||||
continue
|
||||
candidates.append(entry)
|
||||
updated = entry.get("updated_at", "")
|
||||
if updated > best_updated:
|
||||
best_updated = updated
|
||||
best_match = entry.get("session_id")
|
||||
|
||||
if not candidates:
|
||||
return None
|
||||
|
||||
if user_id:
|
||||
exact_user_matches = [
|
||||
entry for entry in candidates
|
||||
if str((entry.get("origin") or {}).get("user_id") or "") == str(user_id)
|
||||
]
|
||||
if exact_user_matches:
|
||||
candidates = exact_user_matches
|
||||
elif len(candidates) > 1:
|
||||
return None
|
||||
elif len(candidates) > 1:
|
||||
distinct_user_ids = {
|
||||
str((entry.get("origin") or {}).get("user_id") or "").strip()
|
||||
for entry in candidates
|
||||
if str((entry.get("origin") or {}).get("user_id") or "").strip()
|
||||
}
|
||||
if len(distinct_user_ids) > 1:
|
||||
return None
|
||||
|
||||
best_entry = max(candidates, key=lambda entry: entry.get("updated_at", ""))
|
||||
return best_entry.get("session_id")
|
||||
return best_match
|
||||
|
||||
|
||||
def _append_to_jsonl(session_id: str, message: dict) -> None:
|
||||
|
||||
+1
-2
@@ -28,7 +28,6 @@ from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from hermes_constants import get_hermes_dir
|
||||
from utils import atomic_replace
|
||||
|
||||
|
||||
# Unambiguous alphabet -- excludes 0/O, 1/I to prevent confusion
|
||||
@@ -60,7 +59,7 @@ def _secure_write(path: Path, data: str) -> None:
|
||||
f.write(data)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, path)
|
||||
os.replace(tmp_path, str(path))
|
||||
try:
|
||||
os.chmod(path, 0o600)
|
||||
except OSError:
|
||||
|
||||
@@ -10,12 +10,10 @@ Each adapter handles:
|
||||
|
||||
from .base import BasePlatformAdapter, MessageEvent, SendResult
|
||||
from .qqbot import QQAdapter
|
||||
from .yuanbao import YuanbaoAdapter
|
||||
|
||||
__all__ = [
|
||||
"BasePlatformAdapter",
|
||||
"MessageEvent",
|
||||
"SendResult",
|
||||
"QQAdapter",
|
||||
"YuanbaoAdapter",
|
||||
]
|
||||
|
||||
+22
-150
@@ -9,7 +9,6 @@ Exposes an HTTP server with endpoints:
|
||||
- GET /v1/models — lists hermes-agent as an available model
|
||||
- POST /v1/runs — start a run, returns run_id immediately (202)
|
||||
- GET /v1/runs/{run_id}/events — SSE stream of structured lifecycle events
|
||||
- POST /v1/runs/{run_id}/stop — interrupt a running agent
|
||||
- GET /health — health check
|
||||
- GET /health/detailed — rich status for cross-container dashboard probing
|
||||
|
||||
@@ -587,9 +586,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
|
||||
# Creation timestamps for orphaned-run TTL sweep
|
||||
self._run_streams_created: Dict[str, float] = {}
|
||||
# Active run agent/task references for stop support
|
||||
self._active_run_agents: Dict[str, Any] = {}
|
||||
self._active_run_tasks: Dict[str, "asyncio.Task"] = {}
|
||||
self._session_db: Optional[Any] = None # Lazy-init SessionDB for session continuity
|
||||
|
||||
@staticmethod
|
||||
@@ -1208,12 +1204,10 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
|
||||
If the client disconnects mid-stream, ``agent.interrupt()`` is
|
||||
called so the agent stops issuing upstream LLM calls, then the
|
||||
asyncio task is cancelled. When ``store=True`` an initial
|
||||
``in_progress`` snapshot is persisted immediately after
|
||||
``response.created`` and disconnects update it to an
|
||||
``incomplete`` snapshot so GET /v1/responses/{id} and
|
||||
``previous_response_id`` chaining still have something to
|
||||
recover from.
|
||||
asyncio task is cancelled. When ``store=True`` the full response
|
||||
is persisted to the ResponseStore in a ``finally`` block so GET
|
||||
/v1/responses/{id} and ``previous_response_id`` chaining work the
|
||||
same as the batch path.
|
||||
"""
|
||||
import queue as _q
|
||||
|
||||
@@ -1275,60 +1269,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
final_response_text = ""
|
||||
agent_error: Optional[str] = None
|
||||
usage: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0}
|
||||
terminal_snapshot_persisted = False
|
||||
|
||||
def _persist_response_snapshot(
|
||||
response_env: Dict[str, Any],
|
||||
*,
|
||||
conversation_history_snapshot: Optional[List[Dict[str, Any]]] = None,
|
||||
) -> None:
|
||||
if not store:
|
||||
return
|
||||
if conversation_history_snapshot is None:
|
||||
conversation_history_snapshot = list(conversation_history)
|
||||
conversation_history_snapshot.append({"role": "user", "content": user_message})
|
||||
self._response_store.put(response_id, {
|
||||
"response": response_env,
|
||||
"conversation_history": conversation_history_snapshot,
|
||||
"instructions": instructions,
|
||||
"session_id": session_id,
|
||||
})
|
||||
if conversation:
|
||||
self._response_store.set_conversation(conversation, response_id)
|
||||
|
||||
def _persist_incomplete_if_needed() -> None:
|
||||
"""Persist an ``incomplete`` snapshot if no terminal one was written.
|
||||
|
||||
Called from both the client-disconnect (``ConnectionResetError``)
|
||||
and server-cancellation (``asyncio.CancelledError``) paths so
|
||||
GET /v1/responses/{id} and ``previous_response_id`` chaining keep
|
||||
working after abrupt stream termination.
|
||||
"""
|
||||
if not store or terminal_snapshot_persisted:
|
||||
return
|
||||
incomplete_text = "".join(final_text_parts) or final_response_text
|
||||
incomplete_items: List[Dict[str, Any]] = list(emitted_items)
|
||||
if incomplete_text:
|
||||
incomplete_items.append({
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"content": [{"type": "output_text", "text": incomplete_text}],
|
||||
})
|
||||
incomplete_env = _envelope("incomplete")
|
||||
incomplete_env["output"] = incomplete_items
|
||||
incomplete_env["usage"] = {
|
||||
"input_tokens": usage.get("input_tokens", 0),
|
||||
"output_tokens": usage.get("output_tokens", 0),
|
||||
"total_tokens": usage.get("total_tokens", 0),
|
||||
}
|
||||
incomplete_history = list(conversation_history)
|
||||
incomplete_history.append({"role": "user", "content": user_message})
|
||||
if incomplete_text:
|
||||
incomplete_history.append({"role": "assistant", "content": incomplete_text})
|
||||
_persist_response_snapshot(
|
||||
incomplete_env,
|
||||
conversation_history_snapshot=incomplete_history,
|
||||
)
|
||||
|
||||
try:
|
||||
# response.created — initial envelope, status=in_progress
|
||||
@@ -1338,7 +1278,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
"type": "response.created",
|
||||
"response": created_env,
|
||||
})
|
||||
_persist_response_snapshot(created_env)
|
||||
last_activity = time.monotonic()
|
||||
|
||||
async def _open_message_item() -> None:
|
||||
@@ -1595,18 +1534,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
"output_tokens": usage.get("output_tokens", 0),
|
||||
"total_tokens": usage.get("total_tokens", 0),
|
||||
}
|
||||
_failed_history = list(conversation_history)
|
||||
_failed_history.append({"role": "user", "content": user_message})
|
||||
if final_response_text or agent_error:
|
||||
_failed_history.append({
|
||||
"role": "assistant",
|
||||
"content": final_response_text or agent_error,
|
||||
})
|
||||
_persist_response_snapshot(
|
||||
failed_env,
|
||||
conversation_history_snapshot=_failed_history,
|
||||
)
|
||||
terminal_snapshot_persisted = True
|
||||
await _write_event("response.failed", {
|
||||
"type": "response.failed",
|
||||
"response": failed_env,
|
||||
@@ -1619,24 +1546,30 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
"output_tokens": usage.get("output_tokens", 0),
|
||||
"total_tokens": usage.get("total_tokens", 0),
|
||||
}
|
||||
full_history = list(conversation_history)
|
||||
full_history.append({"role": "user", "content": user_message})
|
||||
if isinstance(result, dict) and result.get("messages"):
|
||||
full_history.extend(result["messages"])
|
||||
else:
|
||||
full_history.append({"role": "assistant", "content": final_response_text})
|
||||
_persist_response_snapshot(
|
||||
completed_env,
|
||||
conversation_history_snapshot=full_history,
|
||||
)
|
||||
terminal_snapshot_persisted = True
|
||||
await _write_event("response.completed", {
|
||||
"type": "response.completed",
|
||||
"response": completed_env,
|
||||
})
|
||||
|
||||
# Persist for future chaining / GET retrieval, mirroring
|
||||
# the batch path behavior.
|
||||
if store:
|
||||
full_history = list(conversation_history)
|
||||
full_history.append({"role": "user", "content": user_message})
|
||||
if isinstance(result, dict) and result.get("messages"):
|
||||
full_history.extend(result["messages"])
|
||||
else:
|
||||
full_history.append({"role": "assistant", "content": final_response_text})
|
||||
self._response_store.put(response_id, {
|
||||
"response": completed_env,
|
||||
"conversation_history": full_history,
|
||||
"instructions": instructions,
|
||||
"session_id": session_id,
|
||||
})
|
||||
if conversation:
|
||||
self._response_store.set_conversation(conversation, response_id)
|
||||
|
||||
except (ConnectionResetError, ConnectionAbortedError, BrokenPipeError, OSError):
|
||||
_persist_incomplete_if_needed()
|
||||
# Client disconnected — interrupt the agent so it stops
|
||||
# making upstream LLM calls, then cancel the task.
|
||||
agent = agent_ref[0] if agent_ref else None
|
||||
@@ -1652,22 +1585,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
except (asyncio.CancelledError, Exception):
|
||||
pass
|
||||
logger.info("SSE client disconnected; interrupted agent task %s", response_id)
|
||||
except asyncio.CancelledError:
|
||||
# Server-side cancellation (e.g. shutdown, request timeout) —
|
||||
# persist an incomplete snapshot so GET /v1/responses/{id} and
|
||||
# previous_response_id chaining still work, then re-raise so the
|
||||
# runtime's cancellation semantics are respected.
|
||||
_persist_incomplete_if_needed()
|
||||
agent = agent_ref[0] if agent_ref else None
|
||||
if agent is not None:
|
||||
try:
|
||||
agent.interrupt("SSE task cancelled")
|
||||
except Exception:
|
||||
pass
|
||||
if not agent_task.done():
|
||||
agent_task.cancel()
|
||||
logger.info("SSE task cancelled; persisted incomplete snapshot for %s", response_id)
|
||||
raise
|
||||
|
||||
return response
|
||||
|
||||
@@ -2445,7 +2362,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
stream_delta_callback=_text_cb,
|
||||
tool_progress_callback=event_cb,
|
||||
)
|
||||
self._active_run_agents[run_id] = agent
|
||||
def _run_sync():
|
||||
r = agent.run_conversation(
|
||||
user_message=user_message,
|
||||
@@ -2485,11 +2401,8 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
q.put_nowait(None)
|
||||
except Exception:
|
||||
pass
|
||||
self._active_run_agents.pop(run_id, None)
|
||||
self._active_run_tasks.pop(run_id, None)
|
||||
|
||||
task = asyncio.create_task(_run_and_close())
|
||||
self._active_run_tasks[run_id] = task
|
||||
try:
|
||||
self._background_tasks.add(task)
|
||||
except TypeError:
|
||||
@@ -2548,44 +2461,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
|
||||
return response
|
||||
|
||||
async def _handle_stop_run(self, request: "web.Request") -> "web.Response":
|
||||
"""POST /v1/runs/{run_id}/stop — interrupt a running agent."""
|
||||
auth_err = self._check_auth(request)
|
||||
if auth_err:
|
||||
return auth_err
|
||||
|
||||
run_id = request.match_info["run_id"]
|
||||
agent = self._active_run_agents.get(run_id)
|
||||
task = self._active_run_tasks.get(run_id)
|
||||
|
||||
if agent is None and task is None:
|
||||
return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
|
||||
|
||||
if agent is not None:
|
||||
try:
|
||||
agent.interrupt("Stop requested via API")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
if task is not None and not task.done():
|
||||
task.cancel()
|
||||
# Bounded wait: run_conversation() executes in the default
|
||||
# executor thread which task.cancel() cannot preempt — we rely on
|
||||
# agent.interrupt() above to break the loop. Cap the wait so a
|
||||
# slow/unresponsive interrupt can't hang this handler.
|
||||
try:
|
||||
await asyncio.wait_for(asyncio.shield(task), timeout=5.0)
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(
|
||||
"[api_server] stop for run %s timed out after 5s; "
|
||||
"agent may still be finishing the current step",
|
||||
run_id,
|
||||
)
|
||||
except (asyncio.CancelledError, Exception):
|
||||
pass
|
||||
|
||||
return web.json_response({"run_id": run_id, "status": "stopping"})
|
||||
|
||||
async def _sweep_orphaned_runs(self) -> None:
|
||||
"""Periodically clean up run streams that were never consumed."""
|
||||
while True:
|
||||
@@ -2600,8 +2475,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
logger.debug("[api_server] sweeping orphaned run %s", run_id)
|
||||
self._run_streams.pop(run_id, None)
|
||||
self._run_streams_created.pop(run_id, None)
|
||||
self._active_run_agents.pop(run_id, None)
|
||||
self._active_run_tasks.pop(run_id, None)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# BasePlatformAdapter interface
|
||||
@@ -2637,7 +2510,6 @@ class APIServerAdapter(BasePlatformAdapter):
|
||||
# Structured event streaming
|
||||
self._app.router.add_post("/v1/runs", self._handle_runs)
|
||||
self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
|
||||
self._app.router.add_post("/v1/runs/{run_id}/stop", self._handle_stop_run)
|
||||
# Start background sweep to clean up orphaned (unconsumed) run streams
|
||||
sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
|
||||
try:
|
||||
|
||||
+19
-345
@@ -148,102 +148,7 @@ def _detect_macos_system_proxy() -> str | None:
|
||||
return None
|
||||
|
||||
|
||||
def _split_host_port(value: str) -> tuple[str, int | None]:
|
||||
raw = str(value or "").strip()
|
||||
if not raw:
|
||||
return "", None
|
||||
if "://" in raw:
|
||||
parsed = urlsplit(raw)
|
||||
return (parsed.hostname or "").lower().rstrip("."), parsed.port
|
||||
if raw.startswith("[") and "]" in raw:
|
||||
host, _, rest = raw[1:].partition("]")
|
||||
port = None
|
||||
if rest.startswith(":") and rest[1:].isdigit():
|
||||
port = int(rest[1:])
|
||||
return host.lower().rstrip("."), port
|
||||
if raw.count(":") == 1:
|
||||
host, _, maybe_port = raw.rpartition(":")
|
||||
if maybe_port.isdigit():
|
||||
return host.lower().rstrip("."), int(maybe_port)
|
||||
return raw.lower().strip("[]").rstrip("."), None
|
||||
|
||||
|
||||
def _no_proxy_entries() -> list[str]:
|
||||
entries: list[str] = []
|
||||
for key in ("NO_PROXY", "no_proxy"):
|
||||
raw = os.environ.get(key, "")
|
||||
entries.extend(part.strip() for part in raw.split(",") if part.strip())
|
||||
return entries
|
||||
|
||||
|
||||
def _no_proxy_entry_matches(entry: str, host: str, port: int | None = None) -> bool:
|
||||
token = str(entry or "").strip().lower()
|
||||
if not token:
|
||||
return False
|
||||
if token == "*":
|
||||
return True
|
||||
|
||||
token_host, token_port = _split_host_port(token)
|
||||
if token_port is not None and port is not None and token_port != port:
|
||||
return False
|
||||
if token_port is not None and port is None:
|
||||
return False
|
||||
if not token_host:
|
||||
return False
|
||||
|
||||
try:
|
||||
network = ipaddress.ip_network(token_host, strict=False)
|
||||
try:
|
||||
return ipaddress.ip_address(host) in network
|
||||
except ValueError:
|
||||
return False
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
try:
|
||||
token_ip = ipaddress.ip_address(token_host)
|
||||
try:
|
||||
return ipaddress.ip_address(host) == token_ip
|
||||
except ValueError:
|
||||
return False
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
if token_host.startswith("*."):
|
||||
suffix = token_host[1:]
|
||||
return host.endswith(suffix)
|
||||
if token_host.startswith("."):
|
||||
return host == token_host[1:] or host.endswith(token_host)
|
||||
return host == token_host or host.endswith(f".{token_host}")
|
||||
|
||||
|
||||
def should_bypass_proxy(target_hosts: str | list[str] | tuple[str, ...] | set[str] | None) -> bool:
|
||||
"""Return True when NO_PROXY/no_proxy matches at least one target host.
|
||||
|
||||
Supports exact hosts, domain suffixes, wildcard suffixes, IP literals,
|
||||
CIDR ranges, optional host:port entries, and ``*``.
|
||||
"""
|
||||
entries = _no_proxy_entries()
|
||||
if not entries or not target_hosts:
|
||||
return False
|
||||
if isinstance(target_hosts, str):
|
||||
candidates = [target_hosts]
|
||||
else:
|
||||
candidates = list(target_hosts)
|
||||
for candidate in candidates:
|
||||
host, port = _split_host_port(str(candidate))
|
||||
if not host:
|
||||
continue
|
||||
if any(_no_proxy_entry_matches(entry, host, port) for entry in entries):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def resolve_proxy_url(
|
||||
platform_env_var: str | None = None,
|
||||
*,
|
||||
target_hosts: str | list[str] | tuple[str, ...] | set[str] | None = None,
|
||||
) -> str | None:
|
||||
def resolve_proxy_url(platform_env_var: str | None = None) -> str | None:
|
||||
"""Return a proxy URL from env vars, or macOS system proxy.
|
||||
|
||||
Check order:
|
||||
@@ -251,26 +156,18 @@ def resolve_proxy_url(
|
||||
1. HTTPS_PROXY / HTTP_PROXY / ALL_PROXY (and lowercase variants)
|
||||
2. macOS system proxy via ``scutil --proxy`` (auto-detect)
|
||||
|
||||
Returns *None* if no proxy is found, or if NO_PROXY/no_proxy matches one
|
||||
of ``target_hosts``.
|
||||
Returns *None* if no proxy is found.
|
||||
"""
|
||||
if platform_env_var:
|
||||
value = (os.environ.get(platform_env_var) or "").strip()
|
||||
if value:
|
||||
if should_bypass_proxy(target_hosts):
|
||||
return None
|
||||
return normalize_proxy_url(value)
|
||||
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
|
||||
"https_proxy", "http_proxy", "all_proxy"):
|
||||
value = (os.environ.get(key) or "").strip()
|
||||
if value:
|
||||
if should_bypass_proxy(target_hosts):
|
||||
return None
|
||||
return normalize_proxy_url(value)
|
||||
detected = normalize_proxy_url(_detect_macos_system_proxy())
|
||||
if detected and should_bypass_proxy(target_hosts):
|
||||
return None
|
||||
return detected
|
||||
return normalize_proxy_url(_detect_macos_system_proxy())
|
||||
|
||||
|
||||
def proxy_kwargs_for_bot(proxy_url: str | None) -> dict:
|
||||
@@ -307,14 +204,9 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
|
||||
"""Build kwargs for standalone ``aiohttp.ClientSession`` with proxy.
|
||||
|
||||
Returns ``(session_kwargs, request_kwargs)`` where:
|
||||
- With aiohttp-socks → ``({"connector": ProxyConnector(...)}, {})``
|
||||
for *all* proxy schemes (SOCKS **and** HTTP/HTTPS).
|
||||
- HTTP without aiohttp-socks → ``({}, {"proxy": url})``.
|
||||
- None → ``({}, {})``.
|
||||
|
||||
Prefer the connector path: it works transparently with libraries
|
||||
(like mautrix) that call ``session.request()`` without forwarding
|
||||
per-request ``proxy=`` kwargs.
|
||||
- SOCKS → ``({"connector": ProxyConnector(...)}, {})``
|
||||
- HTTP → ``({}, {"proxy": url})``
|
||||
- None → ``({}, {})``
|
||||
|
||||
Usage::
|
||||
|
||||
@@ -325,53 +217,20 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
|
||||
"""
|
||||
if not proxy_url:
|
||||
return {}, {}
|
||||
try:
|
||||
from aiohttp_socks import ProxyConnector
|
||||
if proxy_url.lower().startswith("socks"):
|
||||
try:
|
||||
from aiohttp_socks import ProxyConnector
|
||||
|
||||
connector = ProxyConnector.from_url(proxy_url, rdns=True)
|
||||
return {"connector": connector}, {}
|
||||
except ImportError:
|
||||
if proxy_url.lower().startswith("socks"):
|
||||
connector = ProxyConnector.from_url(proxy_url, rdns=True)
|
||||
return {"connector": connector}, {}
|
||||
except ImportError:
|
||||
logger.warning(
|
||||
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
|
||||
"Run: pip install aiohttp-socks",
|
||||
proxy_url,
|
||||
)
|
||||
return {}, {}
|
||||
return {}, {"proxy": proxy_url}
|
||||
|
||||
|
||||
def is_host_excluded_by_no_proxy(hostname: str, no_proxy_value: str | None = None) -> bool:
|
||||
"""Return True when ``hostname`` matches a ``NO_PROXY`` entry.
|
||||
|
||||
Supports comma- or whitespace-separated entries with optional leading dots
|
||||
and ``*.`` wildcards, which match both the apex domain and subdomains.
|
||||
"""
|
||||
raw = no_proxy_value
|
||||
if raw is None:
|
||||
raw = os.environ.get("NO_PROXY") or os.environ.get("no_proxy") or ""
|
||||
|
||||
raw = raw.strip()
|
||||
if not raw:
|
||||
return False
|
||||
|
||||
lower_hostname = hostname.lower()
|
||||
for entry in re.split(r"[\s,]+", raw):
|
||||
normalized = entry.strip().lower()
|
||||
if not normalized:
|
||||
continue
|
||||
if normalized == "*":
|
||||
return True
|
||||
|
||||
if normalized.startswith("*."):
|
||||
normalized = normalized[2:]
|
||||
elif normalized.startswith("."):
|
||||
normalized = normalized[1:]
|
||||
|
||||
if lower_hostname == normalized or lower_hostname.endswith(f".{normalized}"):
|
||||
return True
|
||||
|
||||
return False
|
||||
return {}, {"proxy": proxy_url}
|
||||
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
@@ -731,15 +590,7 @@ SUPPORTED_DOCUMENT_TYPES = {
|
||||
".pdf": "application/pdf",
|
||||
".md": "text/markdown",
|
||||
".txt": "text/plain",
|
||||
".csv": "text/csv",
|
||||
".log": "text/plain",
|
||||
".json": "application/json",
|
||||
".xml": "application/xml",
|
||||
".yaml": "application/yaml",
|
||||
".yml": "application/yaml",
|
||||
".toml": "application/toml",
|
||||
".ini": "text/plain",
|
||||
".cfg": "text/plain",
|
||||
".zip": "application/zip",
|
||||
".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
||||
".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
|
||||
@@ -907,41 +758,6 @@ class MessageEvent:
|
||||
return args
|
||||
|
||||
|
||||
_PLAINTEXT_GATEWAY_RESTART_PATTERNS: tuple[re.Pattern[str], ...] = (
|
||||
re.compile(r"^(?:please\s+)?restart\s+(?:the\s+)?gateway[.!?\s]*$", re.IGNORECASE),
|
||||
re.compile(r"^(?:please\s+)?restart\s+(?:the\s+)?hermes\s+gateway[.!?\s]*$", re.IGNORECASE),
|
||||
re.compile(r"^(?:please\s+)?restart\s+hermes[.!?\s]*$", re.IGNORECASE),
|
||||
)
|
||||
|
||||
|
||||
def coerce_plaintext_gateway_command(event: "MessageEvent") -> None:
|
||||
"""Rewrite a tiny set of DM plaintext admin phrases into slash commands.
|
||||
|
||||
This keeps high-impact operational phrases like ``restart gateway`` out of
|
||||
the LLM/tool path, where they can trigger a self-restart from inside the
|
||||
currently running agent and leave the gateway stuck in ``draining`` while it
|
||||
waits for that same agent to finish.
|
||||
|
||||
Scope is intentionally narrow: DM text messages only, exact restart-style
|
||||
phrases only. Group chats keep natural-language semantics.
|
||||
"""
|
||||
try:
|
||||
if event is None or event.message_type != MessageType.TEXT:
|
||||
return
|
||||
text = (event.text or "").strip()
|
||||
if not text or text.startswith("/"):
|
||||
return
|
||||
source = getattr(event, "source", None)
|
||||
if getattr(source, "chat_type", None) != "dm":
|
||||
return
|
||||
for pattern in _PLAINTEXT_GATEWAY_RESTART_PATTERNS:
|
||||
if pattern.match(text):
|
||||
event.text = "/restart"
|
||||
return
|
||||
except Exception:
|
||||
return
|
||||
|
||||
|
||||
@dataclass
|
||||
class SendResult:
|
||||
"""Result of sending a message."""
|
||||
@@ -1063,61 +879,6 @@ def resolve_channel_prompt(
|
||||
return None
|
||||
|
||||
|
||||
def resolve_channel_skills(
|
||||
config_extra: dict,
|
||||
channel_id: str,
|
||||
parent_id: str | None = None,
|
||||
) -> list[str] | None:
|
||||
"""Resolve auto-loaded skill(s) for a channel/thread from platform config.
|
||||
|
||||
Looks up ``channel_skill_bindings`` in the adapter's ``config.extra`` dict.
|
||||
|
||||
Config format::
|
||||
|
||||
channel_skill_bindings:
|
||||
- id: "C0123" # Slack channel ID or Discord channel/forum ID
|
||||
skills: ["skill-a", "skill-b"]
|
||||
- id: "D0ABCDE"
|
||||
skill: "solo-skill" # single string also accepted
|
||||
|
||||
Prefers an exact match on *channel_id*; falls back to *parent_id*
|
||||
(useful for forum threads / Slack threads inheriting the parent channel's
|
||||
binding).
|
||||
|
||||
Returns a deduplicated list of skill names (order preserved), or None if
|
||||
no match is found.
|
||||
"""
|
||||
bindings = config_extra.get("channel_skill_bindings") or []
|
||||
if not isinstance(bindings, list) or not bindings:
|
||||
return None
|
||||
ids_to_check: set[str] = set()
|
||||
if channel_id:
|
||||
ids_to_check.add(str(channel_id))
|
||||
if parent_id:
|
||||
ids_to_check.add(str(parent_id))
|
||||
if not ids_to_check:
|
||||
return None
|
||||
for entry in bindings:
|
||||
if not isinstance(entry, dict):
|
||||
continue
|
||||
entry_id = str(entry.get("id", ""))
|
||||
if entry_id in ids_to_check:
|
||||
skills = entry.get("skills") or entry.get("skill")
|
||||
if isinstance(skills, str):
|
||||
s = skills.strip()
|
||||
return [s] if s else None
|
||||
if isinstance(skills, list) and skills:
|
||||
seen: list[str] = []
|
||||
for name in skills:
|
||||
if not isinstance(name, str):
|
||||
continue
|
||||
nm = name.strip()
|
||||
if nm and nm not in seen:
|
||||
seen.append(nm)
|
||||
return seen or None
|
||||
return None
|
||||
|
||||
|
||||
class BasePlatformAdapter(ABC):
|
||||
"""
|
||||
Base class for platform adapters.
|
||||
@@ -1161,20 +922,7 @@ class BasePlatformAdapter(ABC):
|
||||
self._post_delivery_callbacks: Dict[str, Any] = {}
|
||||
self._expected_cancelled_tasks: set[asyncio.Task] = set()
|
||||
self._busy_session_handler: Optional[Callable[[MessageEvent, str], Awaitable[bool]]] = None
|
||||
# Auto-TTS on voice input: ``_auto_tts_default`` is the global default
|
||||
# (``voice.auto_tts`` in config.yaml, pushed by GatewayRunner on connect).
|
||||
# Per-chat overrides live in two sets populated from ``_voice_mode``:
|
||||
# - ``_auto_tts_enabled_chats``: chat explicitly opted in via ``/voice on``
|
||||
# or ``/voice tts`` (mode is ``voice_only`` or ``all``). Fires even when
|
||||
# the global default is False.
|
||||
# - ``_auto_tts_disabled_chats``: chat explicitly opted out via
|
||||
# ``/voice off`` (mode is ``off``). Suppresses auto-TTS even when the
|
||||
# global default is True.
|
||||
# The gate in _process_message() is:
|
||||
# fire if chat in _auto_tts_enabled_chats
|
||||
# OR (_auto_tts_default and chat not in _auto_tts_disabled_chats)
|
||||
self._auto_tts_default: bool = False
|
||||
self._auto_tts_enabled_chats: set = set()
|
||||
# Chats where auto-TTS on voice input is disabled (set by /voice off)
|
||||
self._auto_tts_disabled_chats: set = set()
|
||||
# Chats where typing indicator is paused (e.g. during approval waits).
|
||||
# _keep_typing skips send_typing when the chat_id is in this set.
|
||||
@@ -1196,21 +944,6 @@ class BasePlatformAdapter(ABC):
|
||||
def fatal_error_retryable(self) -> bool:
|
||||
return self._fatal_error_retryable
|
||||
|
||||
def _should_auto_tts_for_chat(self, chat_id: str) -> bool:
|
||||
"""Whether auto-TTS on voice input should fire for ``chat_id``.
|
||||
|
||||
Decision layers (Issue #16007):
|
||||
1. Explicit ``/voice on`` or ``/voice tts`` → always fire (even if
|
||||
``voice.auto_tts`` is False).
|
||||
2. Explicit ``/voice off`` → never fire.
|
||||
3. Fall back to the global ``voice.auto_tts`` config default.
|
||||
"""
|
||||
if chat_id in self._auto_tts_enabled_chats:
|
||||
return True
|
||||
if chat_id in self._auto_tts_disabled_chats:
|
||||
return False
|
||||
return bool(self._auto_tts_default)
|
||||
|
||||
def set_fatal_error_handler(self, handler: Callable[["BasePlatformAdapter"], Awaitable[None] | None]) -> None:
|
||||
self._fatal_error_handler = handler
|
||||
|
||||
@@ -1394,27 +1127,6 @@ class BasePlatformAdapter(ABC):
|
||||
"""
|
||||
return SendResult(success=False, error="Not supported")
|
||||
|
||||
async def delete_message(
|
||||
self,
|
||||
chat_id: str,
|
||||
message_id: str,
|
||||
) -> bool:
|
||||
"""
|
||||
Delete a previously sent message. Optional — platforms that don't
|
||||
support deletion return ``False`` and callers fall back to leaving
|
||||
the message in place.
|
||||
|
||||
Used by the stream consumer's fresh-final cleanup path (see
|
||||
openclaw/openclaw#72038) to remove long-lived preview messages
|
||||
after sending the completed reply as a fresh message so the
|
||||
platform's visible timestamp reflects completion time.
|
||||
|
||||
Returns ``True`` on successful deletion, ``False`` otherwise.
|
||||
Subclasses should override for platforms with a deletion API
|
||||
(e.g. Telegram ``deleteMessage``).
|
||||
"""
|
||||
return False
|
||||
|
||||
async def send_typing(self, chat_id: str, metadata=None) -> None:
|
||||
"""
|
||||
Send a typing indicator.
|
||||
@@ -1742,41 +1454,13 @@ class BasePlatformAdapter(ABC):
|
||||
the agent is waiting for dangerous-command approval). This is critical
|
||||
for Slack's Assistant API where ``assistant_threads_setStatus`` disables
|
||||
the compose box — pausing lets the user type ``/approve`` or ``/deny``.
|
||||
|
||||
Each ``send_typing`` call is bounded by a ~1.5s timeout so a slow
|
||||
network round-trip can't stall the refresh cadence. Telegram- and
|
||||
Discord-side typing expire after ~5s; if any individual send_typing
|
||||
takes longer than the refresh interval, the bubble would die and
|
||||
stay dead until that call returns. Abandoning the slow call lets
|
||||
the next tick fire a fresh send_typing on schedule — as long as
|
||||
one of them succeeds within the 5s platform-side window, the bubble
|
||||
stays visible across provider stalls / upstream API timeouts.
|
||||
"""
|
||||
# Bound each send_typing round-trip so the refresh cadence isn't
|
||||
# gated on network health. Must stay below ``interval`` so a slow
|
||||
# call gets abandoned before the next scheduled tick.
|
||||
_send_typing_timeout = max(0.25, min(1.5, interval - 0.25))
|
||||
try:
|
||||
while True:
|
||||
if stop_event is not None and stop_event.is_set():
|
||||
return
|
||||
if chat_id not in self._typing_paused:
|
||||
try:
|
||||
await asyncio.wait_for(
|
||||
self.send_typing(chat_id, metadata=metadata),
|
||||
timeout=_send_typing_timeout,
|
||||
)
|
||||
except asyncio.TimeoutError:
|
||||
# Slow network — abandon this tick, keep the loop
|
||||
# on schedule so the next send_typing fires fresh.
|
||||
pass
|
||||
except asyncio.CancelledError:
|
||||
raise
|
||||
except Exception as typing_err:
|
||||
logger.debug(
|
||||
"[%s] send_typing error (non-fatal): %s",
|
||||
self.name, typing_err,
|
||||
)
|
||||
await self.send_typing(chat_id, metadata=metadata)
|
||||
if stop_event is None:
|
||||
await asyncio.sleep(interval)
|
||||
continue
|
||||
@@ -2228,8 +1912,6 @@ class BasePlatformAdapter(ABC):
|
||||
"""
|
||||
if not self._message_handler:
|
||||
return
|
||||
|
||||
coerce_plaintext_gateway_command(event)
|
||||
|
||||
session_key = build_session_key(
|
||||
event.source,
|
||||
@@ -2429,14 +2111,12 @@ class BasePlatformAdapter(ABC):
|
||||
logger.info("[%s] extract_local_files found %d file(s) in response", self.name, len(local_files))
|
||||
|
||||
# Auto-TTS: if voice message, generate audio FIRST (before sending text)
|
||||
# Gated via ``_should_auto_tts_for_chat``: fires when the chat has
|
||||
# an explicit ``/voice on|tts`` opt-in OR when ``voice.auto_tts`` is
|
||||
# True globally and no ``/voice off`` has been issued.
|
||||
# Skipped when the chat has voice mode disabled (/voice off)
|
||||
_tts_path = None
|
||||
if (self._should_auto_tts_for_chat(event.source.chat_id)
|
||||
and event.message_type == MessageType.VOICE
|
||||
if (event.message_type == MessageType.VOICE
|
||||
and text_content
|
||||
and not media_files):
|
||||
and not media_files
|
||||
and event.source.chat_id not in self._auto_tts_disabled_chats):
|
||||
try:
|
||||
from tools.tts_tool import text_to_speech_tool, check_tts_requirements
|
||||
if check_tts_requirements():
|
||||
@@ -2760,9 +2440,6 @@ class BasePlatformAdapter(ABC):
|
||||
user_id_alt: Optional[str] = None,
|
||||
chat_id_alt: Optional[str] = None,
|
||||
is_bot: bool = False,
|
||||
guild_id: Optional[str] = None,
|
||||
parent_chat_id: Optional[str] = None,
|
||||
message_id: Optional[str] = None,
|
||||
) -> SessionSource:
|
||||
"""Helper to build a SessionSource for this platform."""
|
||||
# Normalize empty topic to None
|
||||
@@ -2780,9 +2457,6 @@ class BasePlatformAdapter(ABC):
|
||||
user_id_alt=user_id_alt,
|
||||
chat_id_alt=chat_id_alt,
|
||||
is_bot=is_bot,
|
||||
guild_id=str(guild_id) if guild_id else None,
|
||||
parent_chat_id=str(parent_chat_id) if parent_chat_id else None,
|
||||
message_id=str(message_id) if message_id else None,
|
||||
)
|
||||
|
||||
@abstractmethod
|
||||
|
||||
@@ -99,7 +99,6 @@ def _normalize_server_url(raw: str) -> str:
|
||||
|
||||
class BlueBubblesAdapter(BasePlatformAdapter):
|
||||
platform = Platform.BLUEBUBBLES
|
||||
SUPPORTS_MESSAGE_EDITING = False
|
||||
MAX_MESSAGE_LENGTH = MAX_TEXT_LENGTH
|
||||
|
||||
def __init__(self, config: PlatformConfig):
|
||||
@@ -392,13 +391,6 @@ class BlueBubblesAdapter(BasePlatformAdapter):
|
||||
# Text sending
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
@staticmethod
|
||||
def truncate_message(content: str, max_length: int = MAX_TEXT_LENGTH) -> List[str]:
|
||||
# Use the base splitter but skip pagination indicators — iMessage
|
||||
# bubbles flow naturally without "(1/3)" suffixes.
|
||||
chunks = BasePlatformAdapter.truncate_message(content, max_length)
|
||||
return [re.sub(r"\s*\(\d+/\d+\)$", "", c) for c in chunks]
|
||||
|
||||
async def send(
|
||||
self,
|
||||
chat_id: str,
|
||||
@@ -406,19 +398,10 @@ class BlueBubblesAdapter(BasePlatformAdapter):
|
||||
reply_to: Optional[str] = None,
|
||||
metadata: Optional[Dict[str, Any]] = None,
|
||||
) -> SendResult:
|
||||
text = self.format_message(content)
|
||||
text = strip_markdown(content or "")
|
||||
if not text:
|
||||
return SendResult(success=False, error="BlueBubbles send requires text")
|
||||
# Split on paragraph breaks first (double newlines) so each thought
|
||||
# becomes its own iMessage bubble, then truncate any that are still
|
||||
# too long.
|
||||
paragraphs = [p.strip() for p in re.split(r'\n\s*\n', text) if p.strip()]
|
||||
chunks: List[str] = []
|
||||
for para in (paragraphs or [text]):
|
||||
if len(para) <= self.MAX_MESSAGE_LENGTH:
|
||||
chunks.append(para)
|
||||
else:
|
||||
chunks.extend(self.truncate_message(para, max_length=self.MAX_MESSAGE_LENGTH))
|
||||
chunks = self.truncate_message(text, max_length=self.MAX_MESSAGE_LENGTH)
|
||||
last = SendResult(success=True)
|
||||
for chunk in chunks:
|
||||
guid = await self._resolve_chat_guid(chat_id)
|
||||
|
||||
@@ -305,7 +305,7 @@ class VoiceReceiver:
|
||||
encrypted = bytes(payload_with_nonce[:-4])
|
||||
|
||||
try:
|
||||
import nacl.secret # noqa: E402 — delayed import, only in voice path
|
||||
import nacl.secret # noqa: delayed import – only in voice path
|
||||
box = nacl.secret.Aead(self._secret_key)
|
||||
decrypted = box.decrypt(encrypted, header, bytes(nonce))
|
||||
except Exception as e:
|
||||
@@ -813,14 +813,7 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
logger.info("[%s] Synced %d slash command(s) via bulk tree sync", self.name, len(synced))
|
||||
return
|
||||
|
||||
# Discord's per-app command-management bucket is ~5 writes / 20 s,
|
||||
# so a mass-prune-plus-upsert reconcile (e.g. 77 orphans + 30
|
||||
# desired = 107 writes) takes several minutes of forced waits.
|
||||
# A flat 30 s budget blew up reliably under bucket pressure and
|
||||
# left slash commands broken for ~60 min until the bucket fully
|
||||
# recovered. Use a wide ceiling; the cap still guards against a
|
||||
# true hang. (#16713)
|
||||
summary = await asyncio.wait_for(self._safe_sync_slash_commands(), timeout=600)
|
||||
summary = await asyncio.wait_for(self._safe_sync_slash_commands(), timeout=30)
|
||||
logger.info(
|
||||
"[%s] Safely reconciled %d slash command(s): unchanged=%d updated=%d recreated=%d created=%d deleted=%d",
|
||||
self.name,
|
||||
@@ -832,11 +825,7 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
summary["deleted"],
|
||||
)
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(
|
||||
"[%s] Slash command sync timed out — Discord rate-limit bucket "
|
||||
"may be saturated; will retry on next reconnect",
|
||||
self.name,
|
||||
)
|
||||
logger.warning("[%s] Slash command sync timed out after 30s", self.name)
|
||||
except asyncio.CancelledError:
|
||||
raise
|
||||
except Exception as e: # pragma: no cover - defensive logging
|
||||
@@ -2326,6 +2315,11 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
async def slash_background(interaction: discord.Interaction, prompt: str):
|
||||
await self._run_simple_slash(interaction, f"/background {prompt}", "Background task started~")
|
||||
|
||||
@tree.command(name="btw", description="Ephemeral side question using session context")
|
||||
@discord.app_commands.describe(question="Your side question (no tools, not persisted)")
|
||||
async def slash_btw(interaction: discord.Interaction, question: str):
|
||||
await self._run_simple_slash(interaction, f"/btw {question}")
|
||||
|
||||
# ── Auto-register any gateway-available commands not yet on the tree ──
|
||||
# This ensures new commands added to COMMAND_REGISTRY in
|
||||
# hermes_cli/commands.py automatically appear as Discord slash
|
||||
@@ -2690,8 +2684,21 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
skills: ["skill-a", "skill-b"]
|
||||
Also checks parent_id so forum threads inherit the forum's bindings.
|
||||
"""
|
||||
from gateway.platforms.base import resolve_channel_skills
|
||||
return resolve_channel_skills(self.config.extra, channel_id, parent_id)
|
||||
bindings = self.config.extra.get("channel_skill_bindings", [])
|
||||
if not bindings:
|
||||
return None
|
||||
ids_to_check = {channel_id}
|
||||
if parent_id:
|
||||
ids_to_check.add(parent_id)
|
||||
for entry in bindings:
|
||||
entry_id = str(entry.get("id", ""))
|
||||
if entry_id in ids_to_check:
|
||||
skills = entry.get("skills") or entry.get("skill")
|
||||
if isinstance(skills, str):
|
||||
return [skills]
|
||||
if isinstance(skills, list) and skills:
|
||||
return list(dict.fromkeys(skills)) # dedup, preserve order
|
||||
return None
|
||||
|
||||
def _resolve_channel_prompt(self, channel_id: str, parent_id: str | None = None) -> str | None:
|
||||
"""Resolve a Discord per-channel prompt, preferring the exact channel over its parent."""
|
||||
@@ -3254,7 +3261,6 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
if auto_thread and not skip_thread and not is_voice_linked_channel and not is_reply_message:
|
||||
thread = await self._auto_create_thread(message)
|
||||
if thread:
|
||||
parent_channel_id = str(message.channel.id)
|
||||
is_thread = True
|
||||
thread_id = str(thread.id)
|
||||
auto_threaded_channel = thread
|
||||
@@ -3305,7 +3311,6 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
chat_topic = self._get_effective_topic(message.channel, is_thread=is_thread)
|
||||
|
||||
# Build source
|
||||
guild = getattr(message, "guild", None)
|
||||
source = self.build_source(
|
||||
chat_id=str(effective_channel.id),
|
||||
chat_name=chat_name,
|
||||
@@ -3315,9 +3320,6 @@ class DiscordAdapter(BasePlatformAdapter):
|
||||
thread_id=thread_id,
|
||||
chat_topic=chat_topic,
|
||||
is_bot=getattr(message.author, "bot", False),
|
||||
guild_id=str(guild.id) if guild else None,
|
||||
parent_chat_id=parent_channel_id,
|
||||
message_id=str(message.id),
|
||||
)
|
||||
|
||||
# Build media URLs -- download image attachments to local cache so the
|
||||
|
||||
@@ -28,7 +28,6 @@ from email.header import decode_header
|
||||
from email.mime.multipart import MIMEMultipart
|
||||
from email.mime.text import MIMEText
|
||||
from email.mime.base import MIMEBase
|
||||
from email.utils import formatdate
|
||||
from email import encoders
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional
|
||||
@@ -505,7 +504,6 @@ class EmailAdapter(BasePlatformAdapter):
|
||||
msg["In-Reply-To"] = original_msg_id
|
||||
msg["References"] = original_msg_id
|
||||
|
||||
msg["Date"] = formatdate(localtime=True)
|
||||
msg_id = f"<hermes-{uuid.uuid4().hex[:12]}@{self._address.split('@')[1]}>"
|
||||
msg["Message-ID"] = msg_id
|
||||
|
||||
@@ -588,7 +586,6 @@ class EmailAdapter(BasePlatformAdapter):
|
||||
msg["In-Reply-To"] = original_msg_id
|
||||
msg["References"] = original_msg_id
|
||||
|
||||
msg["Date"] = formatdate(localtime=True)
|
||||
msg_id = f"<hermes-{uuid.uuid4().hex[:12]}@{self._address.split('@')[1]}>"
|
||||
msg["Message-ID"] = msg_id
|
||||
|
||||
|
||||
@@ -974,6 +974,7 @@ def build_whole_comment_prompt(
|
||||
|
||||
def _resolve_model_and_runtime() -> Tuple[str, dict]:
|
||||
"""Resolve model and provider credentials, same as gateway message handling."""
|
||||
import os
|
||||
from gateway.run import _load_gateway_config, _resolve_gateway_model
|
||||
|
||||
user_config = _load_gateway_config()
|
||||
|
||||
@@ -11,10 +11,10 @@ import logging
|
||||
import re
|
||||
import time
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING, Dict
|
||||
from typing import TYPE_CHECKING, Dict, Optional
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from gateway.platforms.base import MessageEvent
|
||||
from gateway.platforms.base import BasePlatformAdapter, MessageEvent
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -57,15 +57,6 @@ class MessageDeduplicator:
|
||||
if len(self._seen) > self._max_size:
|
||||
cutoff = now - self._ttl
|
||||
self._seen = {k: v for k, v in self._seen.items() if v > cutoff}
|
||||
if len(self._seen) > self._max_size:
|
||||
# TTL pruning alone does not cap the cache when every entry is
|
||||
# still fresh. Keep the newest entries so the helper's
|
||||
# max_size bound is enforced under sustained traffic.
|
||||
newest = sorted(
|
||||
self._seen.items(),
|
||||
key=lambda item: item[1],
|
||||
)[-self._max_size:]
|
||||
self._seen = dict(newest)
|
||||
return False
|
||||
|
||||
def clear(self):
|
||||
|
||||
+47
-507
@@ -11,7 +11,6 @@ Environment variables:
|
||||
MATRIX_PASSWORD Password (alternative to access token)
|
||||
MATRIX_ENCRYPTION Set "true" to enable E2EE
|
||||
MATRIX_DEVICE_ID Stable device ID for E2EE persistence across restarts
|
||||
MATRIX_PROXY HTTP(S) or SOCKS proxy URL for Matrix traffic
|
||||
MATRIX_ALLOWED_USERS Comma-separated Matrix user IDs (@user:server)
|
||||
MATRIX_HOME_ROOM Room ID for cron/notification delivery
|
||||
MATRIX_REACTIONS Set "false" to disable processing lifecycle reactions
|
||||
@@ -19,7 +18,6 @@ Environment variables:
|
||||
MATRIX_REQUIRE_MENTION Require @mention in rooms (default: true)
|
||||
MATRIX_FREE_RESPONSE_ROOMS Comma-separated room IDs exempt from mention requirement
|
||||
MATRIX_AUTO_THREAD Auto-create threads for room messages (default: true)
|
||||
MATRIX_DM_AUTO_THREAD Auto-create threads for DM messages (default: false)
|
||||
MATRIX_RECOVERY_KEY Recovery key for cross-signing verification after device key rotation
|
||||
MATRIX_DM_MENTION_THREADS Create a thread when bot is @mentioned in a DM (default: false)
|
||||
"""
|
||||
@@ -32,8 +30,6 @@ import mimetypes
|
||||
import os
|
||||
import re
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
|
||||
from html import escape as _html_escape
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, Optional, Set
|
||||
@@ -99,25 +95,11 @@ from gateway.platforms.base import (
|
||||
MessageType,
|
||||
ProcessingOutcome,
|
||||
SendResult,
|
||||
resolve_proxy_url,
|
||||
proxy_kwargs_for_aiohttp,
|
||||
)
|
||||
from gateway.platforms.helpers import ThreadParticipationTracker
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class _MatrixApprovalPrompt:
|
||||
"""Tracks a pending Matrix reaction-based exec approval prompt."""
|
||||
|
||||
def __init__(self, session_key: str, chat_id: str, message_id: str, resolved: bool = False):
|
||||
self.session_key = session_key
|
||||
self.chat_id = chat_id
|
||||
self.message_id = message_id
|
||||
self.resolved = resolved
|
||||
self.bot_reaction_events: dict[str, str] = {} # emoji -> event_id
|
||||
|
||||
# Matrix message size limit (4000 chars practical, spec has no hard limit
|
||||
# but clients render poorly above this).
|
||||
MAX_MESSAGE_LENGTH = 4000
|
||||
@@ -132,85 +114,11 @@ _CRYPTO_DB_PATH = _STORE_DIR / "crypto.db"
|
||||
# Grace period: ignore messages older than this many seconds before startup.
|
||||
_STARTUP_GRACE_SECONDS = 5
|
||||
|
||||
_OUTBOUND_MENTION_RE = re.compile(
|
||||
r"(?<![\w/])(@[0-9A-Za-z._=/-]+:[0-9A-Za-z.-]+(?::\d+)?)"
|
||||
)
|
||||
|
||||
_E2EE_INSTALL_HINT = (
|
||||
"Install with: pip install 'mautrix[encryption]' (requires libolm C library)"
|
||||
)
|
||||
|
||||
_MATRIX_IMAGE_FILENAME_EXTS = frozenset({
|
||||
".jpg",
|
||||
".jpeg",
|
||||
".png",
|
||||
".gif",
|
||||
".webp",
|
||||
".bmp",
|
||||
".svg",
|
||||
".heic",
|
||||
".heif",
|
||||
".avif",
|
||||
})
|
||||
|
||||
|
||||
def _looks_like_matrix_image_filename(text: str) -> bool:
|
||||
"""Return True when Matrix image body text is probably just a transport filename.
|
||||
|
||||
Matrix ``m.image`` events commonly populate ``content.body`` with the uploaded
|
||||
filename when the user did not add a caption. Treating that raw filename as
|
||||
user-authored text confuses downstream vision enrichment.
|
||||
"""
|
||||
candidate = str(text or "").strip()
|
||||
if not candidate or "\n" in candidate or candidate.endswith("/"):
|
||||
return False
|
||||
|
||||
name = Path(candidate).name
|
||||
if not name or name != candidate:
|
||||
return False
|
||||
|
||||
suffix = Path(name).suffix.lower()
|
||||
if not suffix:
|
||||
return False
|
||||
|
||||
guessed_type, _ = mimetypes.guess_type(name)
|
||||
if guessed_type and guessed_type.startswith("image/"):
|
||||
return True
|
||||
return suffix in _MATRIX_IMAGE_FILENAME_EXTS
|
||||
|
||||
|
||||
def _create_matrix_session(proxy_url: str | None):
|
||||
"""Create an ``aiohttp.ClientSession`` whose proxy applies to *all* requests.
|
||||
|
||||
mautrix's ``HTTPAPI._send()`` calls ``session.request()`` without forwarding
|
||||
per-request ``proxy=`` kwargs. For HTTP(S) proxies we use aiohttp's native
|
||||
``proxy=`` session parameter which sets a default for every request. For SOCKS
|
||||
we use ``aiohttp_socks.ProxyConnector`` (connector-level).
|
||||
When no proxy is configured we enable ``trust_env`` so standard env vars
|
||||
(``HTTP_PROXY`` / ``HTTPS_PROXY``) are honoured automatically.
|
||||
"""
|
||||
import aiohttp
|
||||
|
||||
if not proxy_url:
|
||||
return aiohttp.ClientSession(trust_env=True)
|
||||
|
||||
if proxy_url.split("://")[0].lower().startswith("socks"):
|
||||
try:
|
||||
from aiohttp_socks import ProxyConnector
|
||||
|
||||
return aiohttp.ClientSession(
|
||||
connector=ProxyConnector.from_url(proxy_url, rdns=True),
|
||||
)
|
||||
except ImportError:
|
||||
logger.warning(
|
||||
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
|
||||
"Run: pip install aiohttp-socks",
|
||||
proxy_url,
|
||||
)
|
||||
return aiohttp.ClientSession(trust_env=True)
|
||||
|
||||
return aiohttp.ClientSession(proxy=proxy_url)
|
||||
|
||||
|
||||
def _check_e2ee_deps() -> bool:
|
||||
"""Return True if mautrix E2EE dependencies (python-olm) are available."""
|
||||
@@ -352,9 +260,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
"1",
|
||||
"yes",
|
||||
)
|
||||
self._dm_auto_thread: bool = os.getenv(
|
||||
"MATRIX_DM_AUTO_THREAD", "false"
|
||||
).lower() in ("true", "1", "yes")
|
||||
self._dm_mention_threads: bool = os.getenv(
|
||||
"MATRIX_DM_MENTION_THREADS", "false"
|
||||
).lower() in ("true", "1", "yes")
|
||||
@@ -365,11 +270,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
).lower() not in ("false", "0", "no")
|
||||
self._pending_reactions: dict[tuple[str, str], str] = {}
|
||||
|
||||
# Proxy support — resolve once at init, reuse for all HTTP traffic.
|
||||
self._proxy_url: str | None = resolve_proxy_url(platform_env_var="MATRIX_PROXY")
|
||||
if self._proxy_url:
|
||||
logger.info("Matrix: proxy configured — %s", self._proxy_url)
|
||||
|
||||
# Text batching: merge rapid successive messages (Telegram-style).
|
||||
# Matrix clients split long messages around 4000 chars.
|
||||
self._text_batch_delay_seconds = float(
|
||||
@@ -381,18 +281,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
self._pending_text_batches: Dict[str, MessageEvent] = {}
|
||||
self._pending_text_batch_tasks: Dict[str, asyncio.Task] = {}
|
||||
|
||||
# Matrix reaction-based dangerous command approvals.
|
||||
self._approval_reaction_map = {
|
||||
"✅": "once",
|
||||
"❎": "deny",
|
||||
}
|
||||
self._approval_prompts_by_event: Dict[str, _MatrixApprovalPrompt] = {}
|
||||
self._approval_prompt_by_session: Dict[str, str] = {}
|
||||
allowed_users_raw = os.getenv("MATRIX_ALLOWED_USERS", "")
|
||||
self._allowed_user_ids: Set[str] = {
|
||||
u.strip() for u in allowed_users_raw.split(",") if u.strip()
|
||||
}
|
||||
|
||||
def _is_duplicate_event(self, event_id) -> bool:
|
||||
"""Return True if this event was already processed. Tracks the ID otherwise."""
|
||||
if not event_id:
|
||||
@@ -438,7 +326,7 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
)
|
||||
return False
|
||||
except Exception as exc:
|
||||
logger.error("Matrix: post-upload key verification failed: %s", exc, exc_info=True)
|
||||
logger.error("Matrix: post-upload key verification failed: %s", exc)
|
||||
return False
|
||||
return True
|
||||
|
||||
@@ -454,7 +342,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
logger.error(
|
||||
"Matrix: cannot verify device keys on server: %s — refusing E2EE",
|
||||
exc,
|
||||
exc_info=True,
|
||||
)
|
||||
return False
|
||||
|
||||
@@ -469,7 +356,7 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
try:
|
||||
await olm.share_keys()
|
||||
except Exception as exc:
|
||||
logger.error("Matrix: failed to re-upload device keys: %s", exc, exc_info=True)
|
||||
logger.error("Matrix: failed to re-upload device keys: %s", exc)
|
||||
return False
|
||||
return await self._reverify_keys_after_upload(client, local_ed25519)
|
||||
|
||||
@@ -509,7 +396,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
"Try generating a new access token to get a fresh device.",
|
||||
client.device_id,
|
||||
exc,
|
||||
exc_info=True,
|
||||
)
|
||||
return False
|
||||
return await self._reverify_keys_after_upload(client, local_ed25519)
|
||||
@@ -534,11 +420,9 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
_STORE_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Create the HTTP API layer.
|
||||
client_session = _create_matrix_session(self._proxy_url)
|
||||
api = HTTPAPI(
|
||||
base_url=self._homeserver,
|
||||
token=self._access_token or "",
|
||||
client_session=client_session,
|
||||
)
|
||||
|
||||
# Create the client.
|
||||
@@ -581,7 +465,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
logger.error(
|
||||
"Matrix: whoami failed — check MATRIX_ACCESS_TOKEN and MATRIX_HOMESERVER: %s",
|
||||
exc,
|
||||
exc_info=True,
|
||||
)
|
||||
await api.session.close()
|
||||
return False
|
||||
@@ -649,20 +532,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
)
|
||||
await crypto_store.open()
|
||||
|
||||
# Bind the store to the runtime device_id before any
|
||||
# put_account() runs. PgCryptoStore defaults _device_id
|
||||
# to "" and its crypto_account UPSERT never updates the
|
||||
# device_id column on conflict — so once put_account
|
||||
# writes blank, it stays blank forever. That breaks
|
||||
# every downstream device-scoped olm operation: peer
|
||||
# to-device ciphertext can't find our identity key and
|
||||
# no megolm sessions ever land. Setting _device_id here
|
||||
# (in-memory; the on-disk row may not exist yet) makes
|
||||
# the first put_account write the correct value.
|
||||
# DeviceID is a NewType(str) so plain str works at runtime.
|
||||
if client.device_id:
|
||||
await crypto_store.put_device_id(client.device_id)
|
||||
|
||||
crypto_state = _CryptoStateStore(state_store, self._joined_rooms)
|
||||
olm = OlmMachine(client, crypto_store, crypto_state)
|
||||
|
||||
@@ -724,44 +593,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
logger.warning(
|
||||
"Matrix: recovery key verification failed: %s", exc
|
||||
)
|
||||
else:
|
||||
# No recovery key — bootstrap cross-signing if the bot
|
||||
# has none yet. Without this, Element shows "Encrypted
|
||||
# by a device not verified by its owner" on every
|
||||
# message from this bot, indefinitely. mautrix's
|
||||
# generate_recovery_key does the full flow: generates
|
||||
# MSK/SSK/USK, uploads private keys to SSSS, publishes
|
||||
# public keys to the homeserver, and signs the current
|
||||
# device with the new SSK. Some homeservers require UIA
|
||||
# for /keys/device_signing/upload — those will need an
|
||||
# alternate path; Continuwuity and Synapse-with-shared-
|
||||
# secret accept the unauthenticated upload.
|
||||
try:
|
||||
own_xsign = await olm.get_own_cross_signing_public_keys()
|
||||
except Exception as exc:
|
||||
own_xsign = None
|
||||
logger.warning(
|
||||
"Matrix: cross-signing key lookup failed: %s", exc
|
||||
)
|
||||
if own_xsign is None:
|
||||
try:
|
||||
new_recovery_key = await olm.generate_recovery_key()
|
||||
logger.warning(
|
||||
"Matrix: bootstrapped cross-signing for %s. "
|
||||
"SAVE THIS RECOVERY KEY — set "
|
||||
"MATRIX_RECOVERY_KEY for future restarts so "
|
||||
"the bot can re-sign its device after key "
|
||||
"rotation: %s",
|
||||
client.mxid,
|
||||
new_recovery_key,
|
||||
)
|
||||
except Exception as exc:
|
||||
logger.warning(
|
||||
"Matrix: cross-signing bootstrap failed "
|
||||
"(non-fatal — Element will show 'not "
|
||||
"verified by its owner'): %s",
|
||||
exc,
|
||||
)
|
||||
|
||||
client.crypto = olm
|
||||
logger.info(
|
||||
@@ -819,7 +650,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
await asyncio.gather(*tasks)
|
||||
except Exception as exc:
|
||||
logger.warning("Matrix: initial sync event dispatch error: %s", exc)
|
||||
await self._join_pending_invites(sync_data)
|
||||
else:
|
||||
logger.warning(
|
||||
"Matrix: initial sync returned unexpected type %s",
|
||||
@@ -883,8 +713,17 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
chunks = self.truncate_message(formatted, MAX_MESSAGE_LENGTH)
|
||||
|
||||
last_event_id = None
|
||||
for i, chunk in enumerate(chunks):
|
||||
msg_content = self._build_text_message_content(chunk)
|
||||
for chunk in chunks:
|
||||
msg_content: Dict[str, Any] = {
|
||||
"msgtype": "m.text",
|
||||
"body": chunk,
|
||||
}
|
||||
|
||||
# Convert markdown to HTML for rich rendering.
|
||||
html = self._markdown_to_html(chunk)
|
||||
if html and html != chunk:
|
||||
msg_content["format"] = "org.matrix.custom.html"
|
||||
msg_content["formatted_body"] = html
|
||||
|
||||
# Reply-to support.
|
||||
if reply_to:
|
||||
@@ -991,21 +830,25 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
"""Edit an existing message (via m.replace)."""
|
||||
|
||||
formatted = self.format_message(content)
|
||||
new_content = self._build_text_message_content(formatted)
|
||||
msg_content: Dict[str, Any] = {
|
||||
"msgtype": "m.text",
|
||||
"body": f"* {formatted}",
|
||||
"m.new_content": new_content,
|
||||
"m.new_content": {
|
||||
"msgtype": "m.text",
|
||||
"body": formatted,
|
||||
},
|
||||
"m.relates_to": {
|
||||
"rel_type": "m.replace",
|
||||
"event_id": message_id,
|
||||
},
|
||||
}
|
||||
if "m.mentions" in new_content:
|
||||
msg_content["m.mentions"] = new_content["m.mentions"]
|
||||
if "formatted_body" in new_content:
|
||||
|
||||
html = self._markdown_to_html(formatted)
|
||||
if html and html != formatted:
|
||||
msg_content["m.new_content"]["format"] = "org.matrix.custom.html"
|
||||
msg_content["m.new_content"]["formatted_body"] = html
|
||||
msg_content["format"] = "org.matrix.custom.html"
|
||||
msg_content["formatted_body"] = f'* {new_content["formatted_body"]}'
|
||||
msg_content["m.relates_to"] = {
|
||||
"rel_type": "m.replace",
|
||||
"event_id": message_id,
|
||||
}
|
||||
msg_content["formatted_body"] = f"* {html}"
|
||||
|
||||
try:
|
||||
event_id = await self._client.send_message_event(
|
||||
@@ -1038,12 +881,10 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
# Try aiohttp first (always available), fall back to httpx
|
||||
try:
|
||||
import aiohttp as _aiohttp
|
||||
_sess_kw, _req_kw = proxy_kwargs_for_aiohttp(self._proxy_url)
|
||||
async with _aiohttp.ClientSession(**_sess_kw) as http:
|
||||
|
||||
async with _aiohttp.ClientSession(trust_env=True) as http:
|
||||
async with http.get(
|
||||
image_url,
|
||||
timeout=_aiohttp.ClientTimeout(total=30),
|
||||
**_req_kw,
|
||||
image_url, timeout=_aiohttp.ClientTimeout(total=30)
|
||||
) as resp:
|
||||
resp.raise_for_status()
|
||||
data = await resp.read()
|
||||
@@ -1053,10 +894,8 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
)
|
||||
except ImportError:
|
||||
import httpx
|
||||
_httpx_kw: dict = {}
|
||||
if self._proxy_url:
|
||||
_httpx_kw["proxy"] = self._proxy_url
|
||||
async with httpx.AsyncClient(**_httpx_kw) as http:
|
||||
|
||||
async with httpx.AsyncClient() as http:
|
||||
resp = await http.get(image_url, follow_redirects=True, timeout=30)
|
||||
resp.raise_for_status()
|
||||
data = resp.content
|
||||
@@ -1131,56 +970,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
chat_id, video_path, "m.video", caption, reply_to, metadata=metadata
|
||||
)
|
||||
|
||||
async def send_exec_approval(
|
||||
self,
|
||||
chat_id: str,
|
||||
command: str,
|
||||
session_key: str,
|
||||
description: str = "dangerous command",
|
||||
metadata: Optional[dict] = None,
|
||||
) -> SendResult:
|
||||
"""Send a reaction-based exec approval prompt for Matrix."""
|
||||
if not self._client:
|
||||
return SendResult(success=False, error="Not connected")
|
||||
|
||||
cmd_preview = command[:2000] + "..." if len(command) > 2000 else command
|
||||
text = (
|
||||
"⚠️ **Dangerous command requires approval**\n"
|
||||
f"```\n{cmd_preview}\n```\n"
|
||||
f"Reason: {description}\n\n"
|
||||
"Reply `/approve` to execute, `/approve session` to approve this pattern for the session, "
|
||||
"`/approve always` to approve permanently, or `/deny` to cancel.\n\n"
|
||||
"You can also click the reaction to approve:\n"
|
||||
"✅ = /approve\n"
|
||||
"❎ = /deny"
|
||||
)
|
||||
|
||||
result = await self.send(chat_id, text, metadata=metadata)
|
||||
if not result.success or not result.message_id:
|
||||
return result
|
||||
|
||||
prompt = _MatrixApprovalPrompt(
|
||||
session_key=session_key,
|
||||
chat_id=chat_id,
|
||||
message_id=result.message_id,
|
||||
)
|
||||
old_event = self._approval_prompt_by_session.get(session_key)
|
||||
if old_event:
|
||||
self._approval_prompts_by_event.pop(old_event, None)
|
||||
self._approval_prompts_by_event[result.message_id] = prompt
|
||||
self._approval_prompt_by_session[session_key] = result.message_id
|
||||
|
||||
for emoji in ("✅", "❎"):
|
||||
try:
|
||||
reaction_result = await self._send_reaction(chat_id, result.message_id, emoji)
|
||||
# Save the bot's reaction event_id for later cleanup
|
||||
if reaction_result:
|
||||
prompt.bot_reaction_events[emoji] = str(reaction_result)
|
||||
except Exception as exc:
|
||||
logger.debug("Matrix: failed to add approval reaction %s: %s", emoji, exc)
|
||||
|
||||
return result
|
||||
|
||||
def format_message(self, content: str) -> str:
|
||||
"""Pass-through — Matrix supports standard Markdown natively."""
|
||||
# Strip image markdown; media is uploaded separately.
|
||||
@@ -1312,15 +1101,9 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
next_batch = await client.sync_store.get_next_batch()
|
||||
while not self._closing:
|
||||
try:
|
||||
# Wrap in asyncio.wait_for to guard against TCP-level hangs
|
||||
# that the Matrix long-poll timeout cannot catch. Long-poll
|
||||
# is 30s, so 45s gives 15s slack for network drain.
|
||||
sync_data = await asyncio.wait_for(
|
||||
client.sync(
|
||||
since=next_batch,
|
||||
timeout=30000,
|
||||
),
|
||||
timeout=45.0,
|
||||
sync_data = await client.sync(
|
||||
since=next_batch,
|
||||
timeout=30000,
|
||||
)
|
||||
|
||||
# nio returns SyncError objects (not exceptions) for auth
|
||||
@@ -1356,7 +1139,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
await asyncio.gather(*tasks)
|
||||
except Exception as exc:
|
||||
logger.warning("Matrix: sync event dispatch error: %s", exc)
|
||||
await self._join_pending_invites(sync_data)
|
||||
|
||||
except asyncio.CancelledError:
|
||||
return
|
||||
@@ -1382,92 +1164,13 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
# Event callbacks
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _is_self_sender(self, sender: str) -> bool:
|
||||
"""Return True if the sender refers to the bot's own account.
|
||||
|
||||
Matrix user IDs are byte-compared after trimming whitespace and
|
||||
lowercasing — some homeservers normalize the localpart case
|
||||
differently at different API surfaces, and the reply-loop tail
|
||||
of the "hall of mirrors" bug (#15763) has been observed with the
|
||||
bot's own account bypassing a case-sensitive equality check.
|
||||
|
||||
When ``self._user_id`` is empty (whoami hasn't resolved yet, or
|
||||
login failed), we cannot prove a sender is NOT us, so we return
|
||||
True defensively — an unidentified bot dropping its own events
|
||||
is always preferable to falling into an echo loop.
|
||||
"""
|
||||
own = (self._user_id or "").strip().lower()
|
||||
if not own:
|
||||
return True
|
||||
return sender.strip().lower() == own
|
||||
|
||||
@staticmethod
|
||||
def _is_system_or_bridge_sender(sender: str) -> bool:
|
||||
"""Return True if the sender looks like a system / bridge / appservice
|
||||
identity rather than a real user.
|
||||
|
||||
Appservice namespaces on Matrix conventionally prefix bot / puppet
|
||||
user IDs with an underscore (e.g. ``@_telegram_12345:server``,
|
||||
``@_discord_999:server``, ``@_slack_...:server``). Server-notices
|
||||
bots and bridge-controller bots on many homeservers use the same
|
||||
pattern.
|
||||
|
||||
We treat these as system identities for pairing purposes: they
|
||||
should never be offered a pairing code, because an operator
|
||||
approving the code would hand the bridge itself permanent
|
||||
authorization — and every outbound message relayed by the bridge
|
||||
would then loop back into the agent as an "authorized user
|
||||
message", which is the root of issue #15763.
|
||||
|
||||
Matches:
|
||||
``@_something:server`` — appservice namespace convention
|
||||
``@:server`` — malformed / empty localpart
|
||||
``:server`` — malformed, no leading ``@``
|
||||
"""
|
||||
s = (sender or "").strip()
|
||||
if not s:
|
||||
return True
|
||||
# Localpart is everything between leading '@' and ':'
|
||||
if s.startswith("@"):
|
||||
s = s[1:]
|
||||
if ":" in s:
|
||||
localpart, _, _ = s.partition(":")
|
||||
else:
|
||||
localpart = s
|
||||
if not localpart:
|
||||
return True
|
||||
return localpart.startswith("_")
|
||||
|
||||
async def _on_room_message(self, event: Any) -> None:
|
||||
"""Handle incoming room message events (text, media)."""
|
||||
room_id = str(getattr(event, "room_id", ""))
|
||||
sender = str(getattr(event, "sender", ""))
|
||||
|
||||
# Diagnostic: confirm the callback is firing at all when DEBUG is on.
|
||||
# Helps users troubleshoot silent inbound issues like #5819, #7914, #12614.
|
||||
logger.debug(
|
||||
"Matrix: callback fired — event %s from %s in %s",
|
||||
getattr(event, "event_id", "?"),
|
||||
sender,
|
||||
room_id,
|
||||
)
|
||||
|
||||
# Ignore own messages (case-insensitive; also drops when our own
|
||||
# user_id hasn't been resolved yet — see _is_self_sender docstring
|
||||
# and issue #15763).
|
||||
if self._is_self_sender(sender):
|
||||
return
|
||||
|
||||
# Ignore appservice / bridge / system identities so they never
|
||||
# trigger the pairing flow. Once a bridge user is paired, every
|
||||
# outbound message it relays would loop back as an authorized
|
||||
# user message (the "hall of mirrors" in #15763).
|
||||
if self._is_system_or_bridge_sender(sender):
|
||||
logger.debug(
|
||||
"Matrix: ignoring system/bridge sender %s in %s",
|
||||
sender,
|
||||
room_id,
|
||||
)
|
||||
# Ignore own messages.
|
||||
if sender == self._user_id:
|
||||
return
|
||||
|
||||
# Deduplicate by event ID.
|
||||
@@ -1563,12 +1266,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
in_bot_thread = bool(thread_id and thread_id in self._threads)
|
||||
if self._require_mention and not is_free_room and not in_bot_thread:
|
||||
if not is_mentioned:
|
||||
logger.debug(
|
||||
"Matrix: ignoring message %s in %s — no @mention "
|
||||
"(set MATRIX_REQUIRE_MENTION=false to disable)",
|
||||
event_id,
|
||||
room_id,
|
||||
)
|
||||
return None
|
||||
|
||||
# DM mention-thread.
|
||||
@@ -1581,7 +1278,7 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
body = self._strip_mention(body)
|
||||
|
||||
# Auto-thread.
|
||||
if not thread_id and ((not is_dm and self._auto_thread) or (is_dm and self._dm_auto_thread)):
|
||||
if not is_dm and not thread_id and self._auto_thread:
|
||||
thread_id = event_id
|
||||
self._threads.mark(thread_id)
|
||||
|
||||
@@ -1823,9 +1520,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
return
|
||||
body, is_dm, chat_type, thread_id, display_name, source = ctx
|
||||
|
||||
if msgtype == "m.image" and _looks_like_matrix_image_filename(body):
|
||||
body = ""
|
||||
|
||||
allow_http_fallback = bool(http_url) and not is_encrypted_media
|
||||
media_urls = (
|
||||
[cached_path]
|
||||
@@ -1855,35 +1549,13 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
"Matrix: invited to %s — joining",
|
||||
room_id,
|
||||
)
|
||||
await self._join_room_by_id(room_id)
|
||||
|
||||
async def _join_room_by_id(self, room_id: str) -> bool:
|
||||
"""Join a room by ID and refresh local caches on success."""
|
||||
if not room_id:
|
||||
return False
|
||||
if room_id in self._joined_rooms:
|
||||
return True
|
||||
try:
|
||||
await self._client.join_room(RoomID(room_id))
|
||||
self._joined_rooms.add(room_id)
|
||||
logger.info("Matrix: joined %s", room_id)
|
||||
await self._refresh_dm_cache()
|
||||
return True
|
||||
except Exception as exc:
|
||||
logger.warning("Matrix: error joining %s: %s", room_id, exc)
|
||||
return False
|
||||
|
||||
async def _join_pending_invites(self, sync_data: Dict[str, Any]) -> None:
|
||||
"""Join rooms still present in rooms.invite after sync processing."""
|
||||
rooms = sync_data.get("rooms", {}) if isinstance(sync_data, dict) else {}
|
||||
invites = rooms.get("invite", {})
|
||||
if not isinstance(invites, dict):
|
||||
return
|
||||
for room_id in invites:
|
||||
if room_id in self._joined_rooms:
|
||||
continue
|
||||
logger.info("Matrix: reconciling pending invite for %s", room_id)
|
||||
await self._join_room_by_id(str(room_id))
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Reactions (send, receive, processing lifecycle)
|
||||
@@ -1968,7 +1640,7 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
async def _on_reaction(self, event: Any) -> None:
|
||||
"""Handle incoming reaction events."""
|
||||
sender = str(getattr(event, "sender", ""))
|
||||
if self._is_self_sender(sender):
|
||||
if sender == self._user_id:
|
||||
return
|
||||
event_id = str(getattr(event, "event_id", ""))
|
||||
if self._is_duplicate_event(event_id):
|
||||
@@ -1998,51 +1670,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
room_id,
|
||||
)
|
||||
|
||||
# Check if this reaction resolves a pending approval prompt.
|
||||
prompt = self._approval_prompts_by_event.get(reacts_to)
|
||||
if prompt and not prompt.resolved:
|
||||
if room_id != prompt.chat_id:
|
||||
return
|
||||
if self._allowed_user_ids and sender not in self._allowed_user_ids:
|
||||
logger.info(
|
||||
"Matrix: ignoring approval reaction from unauthorized user %s on %s",
|
||||
sender, reacts_to,
|
||||
)
|
||||
return
|
||||
choice = self._approval_reaction_map.get(key)
|
||||
if not choice:
|
||||
return
|
||||
try:
|
||||
from tools.approval import resolve_gateway_approval
|
||||
|
||||
count = resolve_gateway_approval(prompt.session_key, choice)
|
||||
if count:
|
||||
prompt.resolved = True
|
||||
self._approval_prompts_by_event.pop(reacts_to, None)
|
||||
self._approval_prompt_by_session.pop(prompt.session_key, None)
|
||||
logger.info(
|
||||
"Matrix reaction resolved %d approval(s) for session %s "
|
||||
"(choice=%s, user=%s)",
|
||||
count, prompt.session_key, choice, sender,
|
||||
)
|
||||
# Redact bot's seed reactions, leaving only the user's
|
||||
await self._redact_bot_approval_reactions(room_id, prompt)
|
||||
except Exception as exc:
|
||||
logger.error("Failed to resolve gateway approval from Matrix reaction: %s", exc)
|
||||
|
||||
async def _redact_bot_approval_reactions(
|
||||
self,
|
||||
room_id: str,
|
||||
prompt: "_MatrixApprovalPrompt",
|
||||
) -> None:
|
||||
"""Redact the bot's seed ✅/❎ reactions, leaving only the user's reaction."""
|
||||
for emoji, evt_id in prompt.bot_reaction_events.items():
|
||||
try:
|
||||
await self.redact_message(room_id, evt_id, "approval resolved")
|
||||
logger.debug("Matrix: redacted bot reaction %s (%s)", emoji, evt_id)
|
||||
except Exception as exc:
|
||||
logger.debug("Matrix: failed to redact bot reaction %s: %s", emoji, exc)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Text message aggregation (handles Matrix client-side splits)
|
||||
# ------------------------------------------------------------------
|
||||
@@ -2268,7 +1895,11 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
if not self._client or not text:
|
||||
return SendResult(success=False, error="No client or empty text")
|
||||
|
||||
msg_content = self._build_text_message_content(text, msgtype=msgtype)
|
||||
msg_content: Dict[str, Any] = {"msgtype": msgtype, "body": text}
|
||||
html = self._markdown_to_html(text)
|
||||
if html and html != text:
|
||||
msg_content["format"] = "org.matrix.custom.html"
|
||||
msg_content["formatted_body"] = html
|
||||
|
||||
try:
|
||||
event_id = await self._client.send_message_event(
|
||||
@@ -2331,77 +1962,6 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
# Mention detection helpers
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _build_text_message_content(self, text: str, msgtype: str = "m.text") -> Dict[str, Any]:
|
||||
"""Build Matrix text content with HTML and outbound mention metadata."""
|
||||
msg_content: Dict[str, Any] = {"msgtype": msgtype, "body": text}
|
||||
mention_user_ids = self._extract_outbound_mentions(text)
|
||||
if mention_user_ids:
|
||||
msg_content["m.mentions"] = {"user_ids": mention_user_ids}
|
||||
|
||||
html_source = self._inject_outbound_mention_links(text)
|
||||
html = self._markdown_to_html(html_source)
|
||||
if html and html != text:
|
||||
msg_content["format"] = "org.matrix.custom.html"
|
||||
msg_content["formatted_body"] = html
|
||||
|
||||
return msg_content
|
||||
|
||||
def _extract_outbound_mentions(self, text: str) -> list[str]:
|
||||
"""Return unique Matrix user IDs mentioned in outbound text."""
|
||||
protected, _ = self._protect_outbound_mention_regions(text)
|
||||
seen: Set[str] = set()
|
||||
mentions: list[str] = []
|
||||
for match in _OUTBOUND_MENTION_RE.finditer(protected):
|
||||
user_id = match.group(1)
|
||||
if user_id not in seen:
|
||||
seen.add(user_id)
|
||||
mentions.append(user_id)
|
||||
return mentions
|
||||
|
||||
def _inject_outbound_mention_links(self, text: str) -> str:
|
||||
"""Wrap outbound Matrix mentions in markdown links outside code spans."""
|
||||
if not text:
|
||||
return text
|
||||
|
||||
protected, placeholders = self._protect_outbound_mention_regions(text)
|
||||
|
||||
linked = _OUTBOUND_MENTION_RE.sub(
|
||||
lambda match: f"[{match.group(1)}](https://matrix.to/#/{match.group(1)})",
|
||||
protected,
|
||||
)
|
||||
|
||||
for idx, original in enumerate(placeholders):
|
||||
linked = linked.replace(f"\x00MENTION_PROTECTED{idx}\x00", original)
|
||||
|
||||
return linked
|
||||
|
||||
def _protect_outbound_mention_regions(self, text: str) -> tuple[str, list[str]]:
|
||||
"""Protect markdown regions where outbound mentions should stay literal."""
|
||||
placeholders: list[str] = []
|
||||
|
||||
def _protect(fragment: str) -> str:
|
||||
idx = len(placeholders)
|
||||
placeholders.append(fragment)
|
||||
return f"\x00MENTION_PROTECTED{idx}\x00"
|
||||
|
||||
protected = re.sub(
|
||||
r"```[\s\S]*?```",
|
||||
lambda match: _protect(match.group(0)),
|
||||
text or "",
|
||||
)
|
||||
protected = re.sub(
|
||||
r"`[^`\n]+`",
|
||||
lambda match: _protect(match.group(0)),
|
||||
protected,
|
||||
)
|
||||
protected = re.sub(
|
||||
r"\[[^\]]+\]\([^)]+\)",
|
||||
lambda match: _protect(match.group(0)),
|
||||
protected,
|
||||
)
|
||||
|
||||
return protected, placeholders
|
||||
|
||||
def _is_bot_mentioned(
|
||||
self,
|
||||
body: str,
|
||||
@@ -2436,33 +1996,13 @@ class MatrixAdapter(BasePlatformAdapter):
|
||||
return False
|
||||
|
||||
def _strip_mention(self, body: str) -> str:
|
||||
"""Remove explicit bot mentions from message body.
|
||||
"""Strip the bot's full MXID (``@user:server``) from *body*.
|
||||
|
||||
Important: only strip explicit mention tokens (``@user:server`` or
|
||||
``@localpart``). Do NOT strip bare words matching the bot localpart,
|
||||
otherwise normal phrases like "Hermes Agent" become "Agent".
|
||||
The bare localpart is intentionally *not* stripped — it would
|
||||
mangle file paths like ``/home/hermes/media/file.png``.
|
||||
"""
|
||||
if not body:
|
||||
return ""
|
||||
|
||||
# Strip explicit full MXID mentions.
|
||||
if self._user_id:
|
||||
body = body.replace(self._user_id, "")
|
||||
|
||||
# Strip explicit @localpart mentions only (not bare localpart words).
|
||||
if self._user_id and ":" in self._user_id:
|
||||
localpart = self._user_id.split(":")[0].lstrip("@")
|
||||
if localpart:
|
||||
body = re.sub(
|
||||
r'(?<![\w])@' + re.escape(localpart) + r'\b',
|
||||
'',
|
||||
body,
|
||||
flags=re.IGNORECASE,
|
||||
)
|
||||
|
||||
# Normalize spacing after mention removal.
|
||||
body = re.sub(r'[ \t]{2,}', ' ', body)
|
||||
body = re.sub(r'\s+([,.;:!?])', r'\1', body)
|
||||
return body.strip()
|
||||
|
||||
async def _get_display_name(self, room_id: str, user_id: str) -> str:
|
||||
|
||||
@@ -412,6 +412,7 @@ class MattermostAdapter(BasePlatformAdapter):
|
||||
|
||||
import aiohttp
|
||||
|
||||
last_exc = None
|
||||
file_data = None
|
||||
ct = "application/octet-stream"
|
||||
fname = url.rsplit("/", 1)[-1].split("?")[0] or f"{kind}.png"
|
||||
|
||||
@@ -1957,7 +1957,7 @@ class QQAdapter(BasePlatformAdapter):
|
||||
self, openid: str, content: str, reply_to: Optional[str] = None
|
||||
) -> SendResult:
|
||||
"""Send text to a C2C user via REST API."""
|
||||
self._next_msg_seq(reply_to or openid)
|
||||
msg_seq = self._next_msg_seq(reply_to or openid)
|
||||
body = self._build_text_body(content, reply_to)
|
||||
if reply_to:
|
||||
body["msg_id"] = reply_to
|
||||
@@ -1970,7 +1970,7 @@ class QQAdapter(BasePlatformAdapter):
|
||||
self, group_openid: str, content: str, reply_to: Optional[str] = None
|
||||
) -> SendResult:
|
||||
"""Send text to a group via REST API."""
|
||||
self._next_msg_seq(reply_to or group_openid)
|
||||
msg_seq = self._next_msg_seq(reply_to or group_openid)
|
||||
body = self._build_text_body(content, reply_to)
|
||||
if reply_to:
|
||||
body["msg_id"] = reply_to
|
||||
@@ -2135,6 +2135,11 @@ class QQAdapter(BasePlatformAdapter):
|
||||
|
||||
# Route
|
||||
chat_type = self._guess_chat_type(chat_id)
|
||||
target_path = (
|
||||
f"/v2/users/{chat_id}/files"
|
||||
if chat_type == "c2c"
|
||||
else f"/v2/groups/{chat_id}/files"
|
||||
)
|
||||
|
||||
if chat_type == "guild":
|
||||
# Guild channels don't support native media upload in the same way
|
||||
|
||||
+70
-753
File diff suppressed because it is too large
Load Diff
+15
-140
@@ -84,7 +84,6 @@ from gateway.platforms.telegram_network import (
|
||||
discover_fallback_ips,
|
||||
parse_fallback_ip_env,
|
||||
)
|
||||
from utils import atomic_replace
|
||||
|
||||
|
||||
def check_telegram_requirements() -> bool:
|
||||
@@ -123,12 +122,12 @@ def _strip_mdv2(text: str) -> str:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Markdown table → Telegram-friendly row groups
|
||||
# Markdown table → code block conversion
|
||||
# ---------------------------------------------------------------------------
|
||||
# Telegram's MarkdownV2 has no table syntax — '|' is just an escaped literal,
|
||||
# so pipe tables render as noisy backslash-pipe text with no alignment.
|
||||
# Reformating each row into a bold heading plus bullet list keeps the content
|
||||
# readable on mobile clients while preserving the source data.
|
||||
# Wrapping the table in a fenced code block makes Telegram render it as
|
||||
# monospace preformatted text with columns intact.
|
||||
|
||||
# Matches a GFM table delimiter row: optional outer pipes, cells containing
|
||||
# only dashes (with optional leading/trailing colons for alignment) separated
|
||||
@@ -145,49 +144,13 @@ def _is_table_row(line: str) -> bool:
|
||||
return bool(stripped) and '|' in stripped
|
||||
|
||||
|
||||
def _split_markdown_table_row(line: str) -> list[str]:
|
||||
"""Split a simple GFM table row into stripped cell values."""
|
||||
stripped = line.strip()
|
||||
if stripped.startswith("|"):
|
||||
stripped = stripped[1:]
|
||||
if stripped.endswith("|"):
|
||||
stripped = stripped[:-1]
|
||||
return [cell.strip() for cell in stripped.split("|")]
|
||||
|
||||
|
||||
def _render_table_block_for_telegram(table_block: list[str]) -> str:
|
||||
"""Render a detected GFM table as Telegram-friendly row groups."""
|
||||
if len(table_block) < 3:
|
||||
return "\n".join(table_block)
|
||||
|
||||
headers = _split_markdown_table_row(table_block[0])
|
||||
if len(headers) < 2:
|
||||
return "\n".join(table_block)
|
||||
|
||||
rendered_rows: list[str] = []
|
||||
for index, row in enumerate(table_block[2:], start=1):
|
||||
cells = _split_markdown_table_row(row)
|
||||
if len(cells) < len(headers):
|
||||
cells.extend([""] * (len(headers) - len(cells)))
|
||||
elif len(cells) > len(headers):
|
||||
cells = cells[: len(headers)]
|
||||
|
||||
heading = next((cell for cell in cells if cell), f"Row {index}")
|
||||
rendered_rows.append(f"**{heading}**")
|
||||
rendered_rows.extend(
|
||||
f"• {header}: {value}" for header, value in zip(headers, cells)
|
||||
)
|
||||
|
||||
return "\n\n".join(rendered_rows)
|
||||
|
||||
|
||||
def _wrap_markdown_tables(text: str) -> str:
|
||||
"""Rewrite GFM-style pipe tables into Telegram-friendly bullet groups.
|
||||
"""Wrap GFM-style pipe tables in ``` fences so Telegram renders them.
|
||||
|
||||
Detected by a row containing '|' immediately followed by a delimiter
|
||||
row matching :data:`_TABLE_SEPARATOR_RE`. Subsequent pipe-containing
|
||||
non-blank lines are consumed as the table body and rewritten as
|
||||
per-row bullet groups. Tables inside existing fenced code blocks are left
|
||||
non-blank lines are consumed as the table body and included in the
|
||||
wrapped block. Tables inside existing fenced code blocks are left
|
||||
alone.
|
||||
"""
|
||||
if '|' not in text or '-' not in text:
|
||||
@@ -224,7 +187,9 @@ def _wrap_markdown_tables(text: str) -> str:
|
||||
while j < len(lines) and _is_table_row(lines[j]):
|
||||
table_block.append(lines[j])
|
||||
j += 1
|
||||
out.append(_render_table_block_for_telegram(table_block))
|
||||
out.append('```')
|
||||
out.extend(table_block)
|
||||
out.append('```')
|
||||
i = j
|
||||
continue
|
||||
|
||||
@@ -369,49 +334,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
return {"link_preview_options": LinkPreviewOptions(is_disabled=True)}
|
||||
return {"disable_web_page_preview": True}
|
||||
|
||||
async def _drain_polling_connections(self) -> None:
|
||||
"""Reset the httpx connection pool used for getUpdates polling.
|
||||
|
||||
Network errors (especially through proxies like sing-box) can leave
|
||||
httpx connections in a half-closed state that still occupy pool slots.
|
||||
After enough reconnect cycles the pool fills up entirely, causing
|
||||
``Pool timeout: All connections in the connection pool are occupied.``
|
||||
|
||||
We reset ONLY ``_request[0]`` (the getUpdates request) — the general
|
||||
request (``_request[1]``) is left untouched so concurrent
|
||||
``send_message`` / ``edit_message`` calls are never interrupted.
|
||||
|
||||
Implementation note: accesses ``Bot._request[0]`` which is the
|
||||
get-updates ``BaseRequest`` in the PTB 22.x internal tuple
|
||||
``(get_updates_request, general_request)``. There is no public
|
||||
accessor for the polling request; review if upgrading to PTB 23+.
|
||||
"""
|
||||
if not (self._app and self._app.bot):
|
||||
return
|
||||
try:
|
||||
# PTB 22.x: _request is a (get_updates, general) tuple;
|
||||
# no public accessor exists for the polling request.
|
||||
polling_req = self._app.bot._request[0] # noqa: SLF001
|
||||
except Exception:
|
||||
return
|
||||
try:
|
||||
await polling_req.shutdown()
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"[%s] Polling request shutdown failed (non-fatal)",
|
||||
self.name, exc_info=True,
|
||||
)
|
||||
try:
|
||||
await polling_req.initialize()
|
||||
logger.debug(
|
||||
"[%s] Polling request pool drained before reconnect", self.name
|
||||
)
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"[%s] Polling request re-initialize failed (non-fatal)",
|
||||
self.name, exc_info=True,
|
||||
)
|
||||
|
||||
async def _handle_polling_network_error(self, error: Exception) -> None:
|
||||
"""Reconnect polling after a transient network interruption.
|
||||
|
||||
@@ -457,8 +379,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
await self._drain_polling_connections()
|
||||
|
||||
try:
|
||||
await self._app.updater.start_polling(
|
||||
allowed_updates=Update.ALL_TYPES,
|
||||
@@ -506,7 +426,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
except Exception:
|
||||
pass
|
||||
await asyncio.sleep(RETRY_DELAY)
|
||||
await self._drain_polling_connections()
|
||||
try:
|
||||
await self._app.updater.start_polling(
|
||||
allowed_updates=Update.ALL_TYPES,
|
||||
@@ -635,7 +554,7 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
_yaml.dump(config, f, default_flow_style=False, sort_keys=False)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, config_path)
|
||||
os.replace(tmp_path, config_path)
|
||||
except BaseException:
|
||||
try:
|
||||
os.unlink(tmp_path)
|
||||
@@ -784,6 +703,7 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
"write_timeout": _env_float("HERMES_TELEGRAM_HTTP_WRITE_TIMEOUT", 20.0),
|
||||
}
|
||||
|
||||
proxy_url = resolve_proxy_url("TELEGRAM_PROXY")
|
||||
disable_fallback = (os.getenv("HERMES_TELEGRAM_DISABLE_FALLBACK_IPS", "").strip().lower() in ("1", "true", "yes", "on"))
|
||||
fallback_ips = self._fallback_ips()
|
||||
if not fallback_ips:
|
||||
@@ -794,8 +714,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
", ".join(fallback_ips),
|
||||
)
|
||||
|
||||
proxy_targets = ["api.telegram.org", *fallback_ips]
|
||||
proxy_url = resolve_proxy_url("TELEGRAM_PROXY", target_hosts=proxy_targets)
|
||||
if fallback_ips and not proxy_url and not disable_fallback:
|
||||
logger.info(
|
||||
"[%s] Telegram fallback IPs active: %s",
|
||||
@@ -1290,31 +1208,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
)
|
||||
return SendResult(success=False, error=str(e))
|
||||
|
||||
async def delete_message(self, chat_id: str, message_id: str) -> bool:
|
||||
"""Delete a previously sent Telegram message.
|
||||
|
||||
Used by the stream consumer's fresh-final cleanup path (ported
|
||||
from openclaw/openclaw#72038) to remove long-lived preview
|
||||
messages after sending the completed reply as a fresh message.
|
||||
Telegram's Bot API ``deleteMessage`` works for bot-posted
|
||||
messages in the last 48 hours. Failures are non-fatal — the
|
||||
caller leaves the preview in place and logs at debug level.
|
||||
"""
|
||||
if not self._bot:
|
||||
return False
|
||||
try:
|
||||
await self._bot.delete_message(
|
||||
chat_id=int(chat_id),
|
||||
message_id=int(message_id),
|
||||
)
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
"[%s] Failed to delete Telegram message %s: %s",
|
||||
self.name, message_id, e,
|
||||
)
|
||||
return False
|
||||
|
||||
async def send_update_prompt(
|
||||
self, chat_id: str, prompt: str, default: str = "",
|
||||
session_key: str = "",
|
||||
@@ -2161,8 +2054,10 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
|
||||
text = content
|
||||
|
||||
# 0) Rewrite GFM-style pipe tables into Telegram-friendly row groups
|
||||
# before the normal MarkdownV2 conversions run.
|
||||
# 0) Pre-wrap GFM-style pipe tables in ``` fences. Telegram can't
|
||||
# render tables natively, but fenced code blocks render as
|
||||
# monospace preformatted text with columns intact. The wrapped
|
||||
# tables then flow through step (1) below as protected regions.
|
||||
text = _wrap_markdown_tables(text)
|
||||
|
||||
# 1) Protect fenced code blocks (``` ... ```)
|
||||
@@ -2432,26 +2327,6 @@ class TelegramAdapter(BasePlatformAdapter):
|
||||
user = getattr(entity, "user", None)
|
||||
if user and getattr(user, "id", None) == bot_id:
|
||||
return True
|
||||
elif entity_type == "bot_command" and expected:
|
||||
# Telegram's official group-disambiguation form for slash
|
||||
# commands (``/cmd@botname``) is emitted as a single
|
||||
# ``bot_command`` entity covering the whole span — there
|
||||
# is no accompanying ``mention`` entity. Treat it as a
|
||||
# direct address to this bot when the ``@botname`` suffix
|
||||
# matches. This is the form Telegram's own command menu
|
||||
# autocomplete produces in groups, so dropping it at the
|
||||
# mention gate would break /new, /reset, /help, ... for
|
||||
# every group that has ``require_mention`` enabled (#15415).
|
||||
offset = int(getattr(entity, "offset", -1))
|
||||
length = int(getattr(entity, "length", 0))
|
||||
if offset < 0 or length <= 0:
|
||||
continue
|
||||
command_text = source_text[offset:offset + length]
|
||||
at_index = command_text.find("@")
|
||||
if at_index < 0:
|
||||
continue
|
||||
if command_text[at_index:].strip().lower() == expected:
|
||||
return True
|
||||
return False
|
||||
|
||||
def _message_matches_mention_patterns(self, message: Message) -> bool:
|
||||
|
||||
@@ -43,10 +43,10 @@ _DOH_PROVIDERS: list[dict] = [
|
||||
_SEED_FALLBACK_IPS: list[str] = ["149.154.167.220"]
|
||||
|
||||
|
||||
def _resolve_proxy_url(target_hosts=None) -> str | None:
|
||||
def _resolve_proxy_url() -> str | None:
|
||||
# Delegate to shared implementation (env vars + macOS system proxy detection)
|
||||
from gateway.platforms.base import resolve_proxy_url
|
||||
return resolve_proxy_url("TELEGRAM_PROXY", target_hosts=target_hosts)
|
||||
return resolve_proxy_url("TELEGRAM_PROXY")
|
||||
|
||||
|
||||
class TelegramFallbackTransport(httpx.AsyncBaseTransport):
|
||||
@@ -60,7 +60,7 @@ class TelegramFallbackTransport(httpx.AsyncBaseTransport):
|
||||
|
||||
def __init__(self, fallback_ips: Iterable[str], **transport_kwargs):
|
||||
self._fallback_ips = [ip for ip in dict.fromkeys(_normalize_fallback_ips(fallback_ips))]
|
||||
proxy_url = _resolve_proxy_url(target_hosts=[_TELEGRAM_API_HOST, *self._fallback_ips])
|
||||
proxy_url = _resolve_proxy_url()
|
||||
if proxy_url and "proxy" not in transport_kwargs:
|
||||
transport_kwargs["proxy"] = proxy_url
|
||||
self._primary = httpx.AsyncHTTPTransport(**transport_kwargs)
|
||||
|
||||
@@ -89,7 +89,6 @@ MAX_CONSECUTIVE_FAILURES = 3
|
||||
RETRY_DELAY_SECONDS = 2
|
||||
BACKOFF_DELAY_SECONDS = 30
|
||||
SESSION_EXPIRED_ERRCODE = -14
|
||||
RATE_LIMIT_ERRCODE = -2 # iLink frequency limit — backoff and retry
|
||||
MESSAGE_DEDUP_TTL_SECONDS = 300
|
||||
|
||||
MEDIA_IMAGE = 1
|
||||
@@ -1114,7 +1113,7 @@ async def qr_login(
|
||||
class WeixinAdapter(BasePlatformAdapter):
|
||||
"""Native Hermes adapter for Weixin personal accounts."""
|
||||
|
||||
MAX_MESSAGE_LENGTH = 2000
|
||||
MAX_MESSAGE_LENGTH = 4000
|
||||
|
||||
# WeChat does not support editing sent messages — streaming must use the
|
||||
# fallback "send-final-only" path so the cursor (▉) is never left visible.
|
||||
@@ -1139,10 +1138,10 @@ class WeixinAdapter(BasePlatformAdapter):
|
||||
extra.get("cdn_base_url") or os.getenv("WEIXIN_CDN_BASE_URL", WEIXIN_CDN_BASE_URL)
|
||||
).strip().rstrip("/")
|
||||
self._send_chunk_delay_seconds = float(
|
||||
extra.get("send_chunk_delay_seconds") or os.getenv("WEIXIN_SEND_CHUNK_DELAY_SECONDS", "1.5")
|
||||
extra.get("send_chunk_delay_seconds") or os.getenv("WEIXIN_SEND_CHUNK_DELAY_SECONDS", "0.35")
|
||||
)
|
||||
self._send_chunk_retries = int(
|
||||
extra.get("send_chunk_retries") or os.getenv("WEIXIN_SEND_CHUNK_RETRIES", "4")
|
||||
extra.get("send_chunk_retries") or os.getenv("WEIXIN_SEND_CHUNK_RETRIES", "2")
|
||||
)
|
||||
self._send_chunk_retry_delay_seconds = float(
|
||||
extra.get("send_chunk_retry_delay_seconds")
|
||||
@@ -1532,28 +1531,6 @@ class WeixinAdapter(BasePlatformAdapter):
|
||||
self.name, _safe_id(chat_id),
|
||||
)
|
||||
continue
|
||||
# Rate limit (-2) — backoff and retry
|
||||
is_rate_limited = (
|
||||
ret == RATE_LIMIT_ERRCODE
|
||||
or errcode == RATE_LIMIT_ERRCODE
|
||||
)
|
||||
if is_rate_limited:
|
||||
errmsg = resp.get("errmsg") or resp.get("msg") or "rate limited"
|
||||
# Record the error so we raise a descriptive
|
||||
# RuntimeError (instead of AssertionError) if the
|
||||
# loop exhausts with the server still rate-limiting.
|
||||
last_error = RuntimeError(
|
||||
f"iLink sendmessage rate limited: ret={ret} errcode={errcode} errmsg={errmsg}"
|
||||
)
|
||||
if attempt >= self._send_chunk_retries:
|
||||
break
|
||||
wait = self._send_chunk_retry_delay_seconds * 3 # 3x backoff for rate limit
|
||||
logger.warning(
|
||||
"[%s] rate limited for %s; backing off %.1fs before retry",
|
||||
self.name, _safe_id(chat_id), wait,
|
||||
)
|
||||
await asyncio.sleep(wait)
|
||||
continue
|
||||
errmsg = resp.get("errmsg") or resp.get("msg") or "unknown error"
|
||||
raise RuntimeError(
|
||||
f"iLink sendmessage error: ret={ret} errcode={errcode} errmsg={errmsg}"
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,645 +0,0 @@
|
||||
"""
|
||||
yuanbao_media.py — 元宝平台媒体处理模块
|
||||
|
||||
提供 COS 上传、文件下载、TIM 媒体消息构建等功能。
|
||||
移植自 TypeScript 版 media.ts(yuanbao-openclaw-plugin),
|
||||
使用 httpx 替代 cos-nodejs-sdk-v5,避免引入额外 SDK 依赖。
|
||||
|
||||
COS 上传流程:
|
||||
1. 调用 genUploadInfo 获取临时凭证(tmpSecretId/tmpSecretKey/sessionToken)
|
||||
2. 用临时凭证通过 HMAC-SHA1 签名构建 Authorization 头
|
||||
3. HTTP PUT 上传到 COS
|
||||
|
||||
TIM 消息体构建:
|
||||
- buildImageMsgBody() → TIMImageElem
|
||||
- buildFileMsgBody() → TIMFileElem
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
import hmac
|
||||
import logging
|
||||
import os
|
||||
import secrets
|
||||
import struct
|
||||
import time
|
||||
import urllib.parse
|
||||
from typing import Optional, Any
|
||||
|
||||
import httpx
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ============ 常量 ============
|
||||
|
||||
UPLOAD_INFO_PATH = "/api/resource/genUploadInfo"
|
||||
DEFAULT_API_DOMAIN = "yuanbao.tencent.com"
|
||||
DEFAULT_MAX_SIZE_MB = 50
|
||||
|
||||
# COS 加速域名后缀(优先使用全球加速)
|
||||
COS_USE_ACCELERATE = True
|
||||
|
||||
# ============ 类型映射 ============
|
||||
|
||||
# MIME → image_format 数字(TIM 协议字段)
|
||||
_MIME_TO_IMAGE_FORMAT: dict[str, int] = {
|
||||
"image/jpeg": 1,
|
||||
"image/jpg": 1,
|
||||
"image/gif": 2,
|
||||
"image/png": 3,
|
||||
"image/bmp": 4,
|
||||
"image/webp": 255,
|
||||
"image/heic": 255,
|
||||
"image/tiff": 255,
|
||||
}
|
||||
|
||||
# 文件扩展名 → MIME
|
||||
_EXT_TO_MIME: dict[str, str] = {
|
||||
".jpg": "image/jpeg",
|
||||
".jpeg": "image/jpeg",
|
||||
".png": "image/png",
|
||||
".gif": "image/gif",
|
||||
".webp": "image/webp",
|
||||
".bmp": "image/bmp",
|
||||
".heic": "image/heic",
|
||||
".tiff": "image/tiff",
|
||||
".ico": "image/x-icon",
|
||||
".pdf": "application/pdf",
|
||||
".doc": "application/msword",
|
||||
".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
||||
".xls": "application/vnd.ms-excel",
|
||||
".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
|
||||
".ppt": "application/vnd.ms-powerpoint",
|
||||
".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
|
||||
".txt": "text/plain",
|
||||
".zip": "application/zip",
|
||||
".tar": "application/x-tar",
|
||||
".gz": "application/gzip",
|
||||
".mp3": "audio/mpeg",
|
||||
".mp4": "video/mp4",
|
||||
".wav": "audio/wav",
|
||||
".ogg": "audio/ogg",
|
||||
".webm": "video/webm",
|
||||
}
|
||||
|
||||
|
||||
# ============ 工具函数 ============
|
||||
|
||||
def guess_mime_type(filename: str) -> str:
|
||||
"""根据文件扩展名猜测 MIME 类型。"""
|
||||
ext = os.path.splitext(filename)[-1].lower()
|
||||
return _EXT_TO_MIME.get(ext, "application/octet-stream")
|
||||
|
||||
|
||||
def is_image(filename: str, mime_type: str = "") -> bool:
|
||||
"""判断是否为图片类型。"""
|
||||
if mime_type.startswith("image/"):
|
||||
return True
|
||||
ext = os.path.splitext(filename)[-1].lower()
|
||||
return ext in {".jpg", ".jpeg", ".png", ".gif", ".webp", ".bmp", ".heic", ".tiff", ".ico"}
|
||||
|
||||
|
||||
def get_image_format(mime_type: str) -> int:
|
||||
"""获取 TIM 图片格式编号。"""
|
||||
return _MIME_TO_IMAGE_FORMAT.get(mime_type.lower(), 255)
|
||||
|
||||
|
||||
def md5_hex(data: bytes) -> str:
|
||||
"""计算 MD5 十六进制摘要。"""
|
||||
return hashlib.md5(data).hexdigest()
|
||||
|
||||
|
||||
def generate_file_id() -> str:
|
||||
"""生成随机文件 ID(32 位 hex)。"""
|
||||
return secrets.token_hex(16)
|
||||
|
||||
|
||||
|
||||
# ============ 图片尺寸解析(纯 Python,无需 Pillow) ============
|
||||
|
||||
def parse_image_size(data: bytes) -> Optional[dict[str, int]]:
|
||||
"""
|
||||
解析图片宽高(支持 JPEG/PNG/GIF/WebP),无需第三方依赖。
|
||||
返回 {"width": w, "height": h} 或 None(无法识别)。
|
||||
"""
|
||||
return (
|
||||
_parse_png_size(data)
|
||||
or _parse_jpeg_size(data)
|
||||
or _parse_gif_size(data)
|
||||
or _parse_webp_size(data)
|
||||
)
|
||||
|
||||
|
||||
def _parse_png_size(buf: bytes) -> Optional[dict[str, int]]:
|
||||
if len(buf) < 24:
|
||||
return None
|
||||
if buf[:4] != b"\x89PNG":
|
||||
return None
|
||||
w = struct.unpack(">I", buf[16:20])[0]
|
||||
h = struct.unpack(">I", buf[20:24])[0]
|
||||
return {"width": w, "height": h}
|
||||
|
||||
|
||||
def _parse_jpeg_size(buf: bytes) -> Optional[dict[str, int]]:
|
||||
if len(buf) < 4 or buf[0] != 0xFF or buf[1] != 0xD8:
|
||||
return None
|
||||
i = 2
|
||||
while i < len(buf) - 9:
|
||||
if buf[i] != 0xFF:
|
||||
i += 1
|
||||
continue
|
||||
marker = buf[i + 1]
|
||||
if marker in (0xC0, 0xC2):
|
||||
h = struct.unpack(">H", buf[i + 5: i + 7])[0]
|
||||
w = struct.unpack(">H", buf[i + 7: i + 9])[0]
|
||||
return {"width": w, "height": h}
|
||||
if i + 3 < len(buf):
|
||||
i += 2 + struct.unpack(">H", buf[i + 2: i + 4])[0]
|
||||
else:
|
||||
break
|
||||
return None
|
||||
|
||||
|
||||
def _parse_gif_size(buf: bytes) -> Optional[dict[str, int]]:
|
||||
if len(buf) < 10:
|
||||
return None
|
||||
sig = buf[:6].decode("ascii", errors="replace")
|
||||
if sig not in ("GIF87a", "GIF89a"):
|
||||
return None
|
||||
w = struct.unpack("<H", buf[6:8])[0]
|
||||
h = struct.unpack("<H", buf[8:10])[0]
|
||||
return {"width": w, "height": h}
|
||||
|
||||
|
||||
def _parse_webp_size(buf: bytes) -> Optional[dict[str, int]]:
|
||||
if len(buf) < 16:
|
||||
return None
|
||||
if buf[:4] != b"RIFF" or buf[8:12] != b"WEBP":
|
||||
return None
|
||||
chunk = buf[12:16].decode("ascii", errors="replace")
|
||||
if chunk == "VP8 ":
|
||||
if len(buf) >= 30 and buf[23] == 0x9D and buf[24] == 0x01 and buf[25] == 0x2A:
|
||||
w = struct.unpack("<H", buf[26:28])[0] & 0x3FFF
|
||||
h = struct.unpack("<H", buf[28:30])[0] & 0x3FFF
|
||||
return {"width": w, "height": h}
|
||||
elif chunk == "VP8L":
|
||||
if len(buf) >= 25 and buf[20] == 0x2F:
|
||||
bits = struct.unpack("<I", buf[21:25])[0]
|
||||
w = (bits & 0x3FFF) + 1
|
||||
h = ((bits >> 14) & 0x3FFF) + 1
|
||||
return {"width": w, "height": h}
|
||||
elif chunk == "VP8X":
|
||||
if len(buf) >= 30:
|
||||
w = (buf[24] | (buf[25] << 8) | (buf[26] << 16)) + 1
|
||||
h = (buf[27] | (buf[28] << 8) | (buf[29] << 16)) + 1
|
||||
return {"width": w, "height": h}
|
||||
return None
|
||||
|
||||
|
||||
# ============ URL 下载 ============
|
||||
|
||||
async def download_url(
|
||||
url: str,
|
||||
max_size_mb: int = DEFAULT_MAX_SIZE_MB,
|
||||
) -> tuple[bytes, str]:
|
||||
"""
|
||||
下载 URL 内容,返回 (bytes, content_type)。
|
||||
|
||||
Args:
|
||||
url: HTTP(S) URL
|
||||
max_size_mb: 最大允许大小(MB),超过则抛出异常
|
||||
|
||||
Returns:
|
||||
(data_bytes, content_type_string)
|
||||
|
||||
Raises:
|
||||
ValueError: 内容超过大小限制
|
||||
httpx.HTTPError: 网络/HTTP 错误
|
||||
"""
|
||||
max_bytes = max_size_mb * 1024 * 1024
|
||||
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
|
||||
# 先 HEAD 检查大小
|
||||
try:
|
||||
head = await client.head(url)
|
||||
content_length = int(head.headers.get("content-length", 0) or 0)
|
||||
if content_length > 0 and content_length > max_bytes:
|
||||
raise ValueError(
|
||||
f"文件过大: {content_length / 1024 / 1024:.1f} MB > {max_size_mb} MB"
|
||||
)
|
||||
except httpx.HTTPStatusError:
|
||||
pass # 部分服务器不支持 HEAD,忽略
|
||||
|
||||
# GET 下载(流式读取,防止超限)
|
||||
async with client.stream("GET", url) as resp:
|
||||
resp.raise_for_status()
|
||||
|
||||
content_type = resp.headers.get("content-type", "").split(";")[0].strip()
|
||||
|
||||
chunks: list[bytes] = []
|
||||
downloaded = 0
|
||||
async for chunk in resp.aiter_bytes(65536):
|
||||
downloaded += len(chunk)
|
||||
if downloaded > max_bytes:
|
||||
raise ValueError(
|
||||
f"文件过大: 已超过 {max_size_mb} MB 限制"
|
||||
)
|
||||
chunks.append(chunk)
|
||||
|
||||
data = b"".join(chunks)
|
||||
return data, content_type
|
||||
|
||||
|
||||
# ============ COS 鉴权(HMAC-SHA1) ============
|
||||
|
||||
def _cos_sign(
|
||||
method: str,
|
||||
path: str,
|
||||
params: dict[str, str],
|
||||
headers: dict[str, str],
|
||||
secret_id: str,
|
||||
secret_key: str,
|
||||
start_time: Optional[int] = None,
|
||||
expire_seconds: int = 3600,
|
||||
) -> str:
|
||||
"""
|
||||
构建 COS 请求签名(q-sign-algorithm=sha1 方案)。
|
||||
参考:https://cloud.tencent.com/document/product/436/7778
|
||||
|
||||
Args:
|
||||
method: HTTP 方法(小写,如 "put")
|
||||
path: URL 路径(URL encode 后的小写)
|
||||
params: URL 查询参数 dict(用于签名)
|
||||
headers: 参与签名的请求头 dict(key 需小写)
|
||||
secret_id: 临时 SecretId(tmpSecretId)
|
||||
secret_key: 临时 SecretKey(tmpSecretKey)
|
||||
start_time: 签名起始 Unix 时间戳(默认 now)
|
||||
expire_seconds: 签名有效期(秒,默认 3600)
|
||||
|
||||
Returns:
|
||||
Authorization header 值(完整字符串)
|
||||
"""
|
||||
now = int(time.time())
|
||||
q_sign_time = f"{start_time or now};{(start_time or now) + expire_seconds}"
|
||||
|
||||
# Step 1: SignKey = HMAC-SHA1(SecretKey, q-sign-time)
|
||||
sign_key = hmac.new(
|
||||
secret_key.encode("utf-8"),
|
||||
q_sign_time.encode("utf-8"),
|
||||
hashlib.sha1,
|
||||
).hexdigest()
|
||||
|
||||
# Step 2: HttpString
|
||||
# 参数和头部需按字典序排列,key 小写
|
||||
sorted_params = sorted((k.lower(), urllib.parse.quote(str(v), safe="") ) for k, v in params.items())
|
||||
sorted_headers = sorted((k.lower(), urllib.parse.quote(str(v), safe="") ) for k, v in headers.items())
|
||||
|
||||
url_param_list = ";".join(k for k, _ in sorted_params)
|
||||
url_params = "&".join(f"{k}={v}" for k, v in sorted_params)
|
||||
header_list = ";".join(k for k, _ in sorted_headers)
|
||||
header_str = "&".join(f"{k}={v}" for k, v in sorted_headers)
|
||||
|
||||
http_string = "\n".join([
|
||||
method.lower(),
|
||||
path,
|
||||
url_params,
|
||||
header_str,
|
||||
"",
|
||||
])
|
||||
|
||||
# Step 3: StringToSign = sha1 hash of HttpString
|
||||
sha1_of_http = hashlib.sha1(http_string.encode("utf-8")).hexdigest()
|
||||
string_to_sign = "\n".join([
|
||||
"sha1",
|
||||
q_sign_time,
|
||||
sha1_of_http,
|
||||
"",
|
||||
])
|
||||
|
||||
# Step 4: Signature = HMAC-SHA1(SignKey, StringToSign)
|
||||
signature = hmac.new(
|
||||
sign_key.encode("utf-8"),
|
||||
string_to_sign.encode("utf-8"),
|
||||
hashlib.sha1,
|
||||
).hexdigest()
|
||||
|
||||
return (
|
||||
f"q-sign-algorithm=sha1"
|
||||
f"&q-ak={secret_id}"
|
||||
f"&q-sign-time={q_sign_time}"
|
||||
f"&q-key-time={q_sign_time}"
|
||||
f"&q-header-list={header_list}"
|
||||
f"&q-url-param-list={url_param_list}"
|
||||
f"&q-signature={signature}"
|
||||
)
|
||||
|
||||
|
||||
# ============ 主要公开 API ============
|
||||
|
||||
async def get_cos_credentials(
|
||||
app_key: str,
|
||||
api_domain: str,
|
||||
token: str,
|
||||
filename: str = "file",
|
||||
file_id: Optional[str] = None,
|
||||
bot_id: str = "",
|
||||
route_env: str = "",
|
||||
) -> dict:
|
||||
"""
|
||||
调用 genUploadInfo 接口获取 COS 临时密钥及上传配置。
|
||||
|
||||
Args:
|
||||
app_key: 应用 Key(用于 X-ID 头)
|
||||
api_domain: API 域名(如 https://bot.yuanbao.tencent.com)
|
||||
token: 当前有效的签票 token(X-Token 头)
|
||||
filename: 待上传的文件名(含扩展名)
|
||||
file_id: 客户端生成的唯一文件 ID(不传则自动生成)
|
||||
bot_id: Bot 账号 ID(用于 X-ID 头)
|
||||
|
||||
Returns:
|
||||
COS 上传配置 dict,包含以下字段:
|
||||
bucketName (str) — COS Bucket 名称
|
||||
region (str) — COS 地域
|
||||
location (str) — 上传 Key(对象路径)
|
||||
encryptTmpSecretId (str) — 临时 SecretId
|
||||
encryptTmpSecretKey(str) — 临时 SecretKey
|
||||
encryptToken (str) — SessionToken
|
||||
startTime (int) — 凭证起始时间戳(Unix)
|
||||
expiredTime (int) — 凭证过期时间戳(Unix)
|
||||
resourceUrl (str) — 上传后的公网访问 URL
|
||||
resourceID (str) — 资源 ID(可选)
|
||||
|
||||
Raises:
|
||||
RuntimeError: 接口返回非 0 code 或字段缺失
|
||||
"""
|
||||
if file_id is None:
|
||||
file_id = generate_file_id()
|
||||
|
||||
upload_url = f"{api_domain.rstrip('/')}{UPLOAD_INFO_PATH}"
|
||||
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"X-Token": token,
|
||||
"X-ID": bot_id or app_key,
|
||||
"X-Source": "web",
|
||||
}
|
||||
if route_env:
|
||||
headers["X-Route-Env"] = route_env
|
||||
body = {
|
||||
"fileName": filename,
|
||||
"fileId": file_id,
|
||||
"docFrom": "localDoc",
|
||||
"docOpenId": "",
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient(timeout=15.0) as client:
|
||||
resp = await client.post(upload_url, json=body, headers=headers)
|
||||
resp.raise_for_status()
|
||||
result: dict[str, Any] = resp.json()
|
||||
|
||||
code = result.get("code")
|
||||
if code != 0 and code is not None:
|
||||
raise RuntimeError(
|
||||
f"genUploadInfo 失败: code={code}, msg={result.get('msg', '')}"
|
||||
)
|
||||
|
||||
data = result.get("data") or result
|
||||
required_fields = ["bucketName", "location"]
|
||||
missing = [f for f in required_fields if not data.get(f)]
|
||||
if missing:
|
||||
raise RuntimeError(
|
||||
f"genUploadInfo 返回字段不完整: 缺少字段 {missing}"
|
||||
)
|
||||
|
||||
return data
|
||||
|
||||
|
||||
async def upload_to_cos(
|
||||
file_bytes: bytes,
|
||||
filename: str,
|
||||
content_type: str,
|
||||
credentials: dict,
|
||||
bucket: str,
|
||||
region: str,
|
||||
) -> dict:
|
||||
"""
|
||||
通过 httpx PUT 请求将文件上传到 COS。
|
||||
使用临时凭证(tmpSecretId/tmpSecretKey/sessionToken)构建 HMAC-SHA1 签名。
|
||||
|
||||
Args:
|
||||
file_bytes: 文件二进制内容
|
||||
filename: 文件名(用于辅助计算 MIME、UUID)
|
||||
content_type: MIME 类型(如 "image/jpeg")
|
||||
credentials: get_cos_credentials() 返回的 dict,包含:
|
||||
encryptTmpSecretId → tmpSecretId
|
||||
encryptTmpSecretKey → tmpSecretKey
|
||||
encryptToken → sessionToken
|
||||
location → COS key(对象路径)
|
||||
resourceUrl → 上传后公网 URL
|
||||
startTime → 凭证起始时间(Unix)
|
||||
expiredTime → 凭证过期时间(Unix)
|
||||
bucket: COS Bucket 名称(如 chatbot-1234567890)
|
||||
region: COS 地域(如 ap-guangzhou)
|
||||
|
||||
Returns:
|
||||
上传结果 dict,包含:
|
||||
url (str) — COS 公网访问 URL
|
||||
uuid (str) — 文件内容 MD5
|
||||
size (int) — 文件大小(字节)
|
||||
width (int, optional) — 图片宽度(仅图片)
|
||||
height (int, optional) — 图片高度(仅图片)
|
||||
|
||||
Raises:
|
||||
httpx.HTTPStatusError: COS 返回非 2xx 状态
|
||||
RuntimeError: credentials 字段缺失
|
||||
"""
|
||||
secret_id: str = credentials.get("encryptTmpSecretId", "")
|
||||
secret_key: str = credentials.get("encryptTmpSecretKey", "")
|
||||
session_token: str = credentials.get("encryptToken", "")
|
||||
cos_key: str = credentials.get("location", "")
|
||||
resource_url: str = credentials.get("resourceUrl", "")
|
||||
start_time: Optional[int] = credentials.get("startTime")
|
||||
expired_time: Optional[int] = credentials.get("expiredTime")
|
||||
|
||||
if not secret_id or not secret_key or not cos_key:
|
||||
raise RuntimeError(
|
||||
f"COS credentials 不完整: secretId={bool(secret_id)}, "
|
||||
f"secretKey={bool(secret_key)}, location={bool(cos_key)}"
|
||||
)
|
||||
|
||||
# 构建 COS 上传 URL(优先使用全球加速域名)
|
||||
if COS_USE_ACCELERATE:
|
||||
cos_host = f"{bucket}.cos.accelerate.myqcloud.com"
|
||||
else:
|
||||
cos_host = f"{bucket}.cos.{region}.myqcloud.com"
|
||||
|
||||
# URL encode cos_key(保留 /)
|
||||
encoded_key = urllib.parse.quote(cos_key, safe="/")
|
||||
cos_url = f"https://{cos_host}/{encoded_key.lstrip('/')}"
|
||||
|
||||
# 确定 Content-Type
|
||||
if not content_type or content_type == "application/octet-stream":
|
||||
if is_image(filename):
|
||||
content_type = guess_mime_type(filename)
|
||||
else:
|
||||
content_type = "application/octet-stream"
|
||||
|
||||
# 计算文件 MD5 + size
|
||||
file_uuid = md5_hex(file_bytes)
|
||||
file_size = len(file_bytes)
|
||||
|
||||
# 参与签名的请求头
|
||||
sign_headers = {
|
||||
"host": cos_host,
|
||||
"content-type": content_type,
|
||||
"x-cos-security-token": session_token,
|
||||
}
|
||||
|
||||
# 计算签名有效期
|
||||
now = int(time.time())
|
||||
sign_start = start_time if start_time else now
|
||||
sign_expire = (expired_time - now) if expired_time and expired_time > now else 3600
|
||||
|
||||
authorization = _cos_sign(
|
||||
method="put",
|
||||
path=f"/{encoded_key.lstrip('/')}",
|
||||
params={},
|
||||
headers=sign_headers,
|
||||
secret_id=secret_id,
|
||||
secret_key=secret_key,
|
||||
start_time=sign_start,
|
||||
expire_seconds=sign_expire,
|
||||
)
|
||||
|
||||
put_headers = {
|
||||
"Authorization": authorization,
|
||||
"Content-Type": content_type,
|
||||
"x-cos-security-token": session_token,
|
||||
}
|
||||
|
||||
logger.info(
|
||||
"COS PUT: bucket=%s region=%s key=%s size=%d mime=%s",
|
||||
bucket, region, cos_key, file_size, content_type,
|
||||
)
|
||||
|
||||
async with httpx.AsyncClient(timeout=120.0) as client:
|
||||
resp = await client.put(
|
||||
cos_url,
|
||||
content=file_bytes,
|
||||
headers=put_headers,
|
||||
)
|
||||
resp.raise_for_status()
|
||||
|
||||
# 解析图片尺寸(仅图片类型)
|
||||
result: dict[str, Any] = {
|
||||
"url": resource_url or cos_url,
|
||||
"uuid": file_uuid,
|
||||
"size": file_size,
|
||||
}
|
||||
|
||||
if content_type.startswith("image/"):
|
||||
size_info = parse_image_size(file_bytes)
|
||||
if size_info:
|
||||
result["width"] = size_info["width"]
|
||||
result["height"] = size_info["height"]
|
||||
|
||||
logger.info(
|
||||
"COS 上传成功: url=%s size=%d",
|
||||
result["url"], file_size,
|
||||
)
|
||||
return result
|
||||
|
||||
|
||||
# ============ TIM 媒体消息构建 ============
|
||||
|
||||
def build_image_msg_body(
|
||||
url: str,
|
||||
uuid: Optional[str] = None,
|
||||
filename: Optional[str] = None,
|
||||
size: int = 0,
|
||||
width: int = 0,
|
||||
height: int = 0,
|
||||
mime_type: str = "",
|
||||
) -> list[dict]:
|
||||
"""
|
||||
构建腾讯 IM TIMImageElem 消息体。
|
||||
参考:https://cloud.tencent.com/document/product/269/2720
|
||||
|
||||
Args:
|
||||
url: 图片公网访问 URL(COS resourceUrl)
|
||||
uuid: 文件 UUID(MD5 或其他唯一标识)
|
||||
filename: 文件名(uuid 为空时作为备用)
|
||||
size: 文件大小(字节)
|
||||
width: 图片宽度(像素)
|
||||
height: 图片高度(像素)
|
||||
mime_type: MIME 类型(用于确定 image_format)
|
||||
|
||||
Returns:
|
||||
TIMImageElem 消息体列表(适合直接放入 msg_body)
|
||||
"""
|
||||
_uuid = uuid or filename or _basename_from_url(url) or "image"
|
||||
image_format = get_image_format(mime_type) if mime_type else 255
|
||||
|
||||
return [
|
||||
{
|
||||
"msg_type": "TIMImageElem",
|
||||
"msg_content": {
|
||||
"uuid": _uuid,
|
||||
"image_format": image_format,
|
||||
"image_info_array": [
|
||||
{
|
||||
"type": 1, # 1 = 原图
|
||||
"size": size,
|
||||
"width": width,
|
||||
"height": height,
|
||||
"url": url,
|
||||
}
|
||||
],
|
||||
},
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
def build_file_msg_body(
|
||||
url: str,
|
||||
filename: str,
|
||||
uuid: Optional[str] = None,
|
||||
size: int = 0,
|
||||
) -> list[dict]:
|
||||
"""
|
||||
构建腾讯 IM TIMFileElem 消息体。
|
||||
参考:https://cloud.tencent.com/document/product/269/2720
|
||||
|
||||
Args:
|
||||
url: 文件公网访问 URL(COS resourceUrl)
|
||||
filename: 文件名(含扩展名)
|
||||
uuid: 文件 UUID(MD5 或其他唯一标识,不传则使用 filename)
|
||||
size: 文件大小(字节)
|
||||
|
||||
Returns:
|
||||
TIMFileElem 消息体列表(适合直接放入 msg_body)
|
||||
"""
|
||||
_uuid = uuid or filename
|
||||
|
||||
return [
|
||||
{
|
||||
"msg_type": "TIMFileElem",
|
||||
"msg_content": {
|
||||
"uuid": _uuid,
|
||||
"file_name": filename,
|
||||
"file_size": size,
|
||||
"url": url,
|
||||
},
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
# ============ 内部工具 ============
|
||||
|
||||
def _basename_from_url(url: str) -> str:
|
||||
"""从 URL 提取文件名。"""
|
||||
try:
|
||||
parsed = urllib.parse.urlparse(url)
|
||||
return os.path.basename(parsed.path)
|
||||
except Exception:
|
||||
return ""
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,558 +0,0 @@
|
||||
"""
|
||||
Yuanbao sticker (TIMFaceElem) support.
|
||||
|
||||
Ported from yuanbao-openclaw-plugin/src/sticker/.
|
||||
|
||||
TIMFaceElem wire format:
|
||||
{
|
||||
"msg_type": "TIMFaceElem",
|
||||
"msg_content": {
|
||||
"index": 0, # always 0 per Yuanbao convention
|
||||
"data": "<json>", # serialised sticker metadata
|
||||
}
|
||||
}
|
||||
|
||||
The `data` field carries a JSON string with the sticker's metadata so the
|
||||
receiver can look up the correct asset in the emoji pack.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import random
|
||||
import re
|
||||
import unicodedata
|
||||
from typing import Optional
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sticker catalogue – ported from builtin-stickers.json
|
||||
# Key : canonical name (Chinese)
|
||||
# Value : {sticker_id, package_id, name, description, width, height, formats}
|
||||
# ---------------------------------------------------------------------------
|
||||
STICKER_MAP: dict[str, dict] = {
|
||||
"六六六": {
|
||||
"sticker_id": "278", "package_id": "1003", "name": "六六六",
|
||||
"description": "666 厉害 牛 棒 绝了 好强 awesome",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"我想开了": {
|
||||
"sticker_id": "262", "package_id": "1003", "name": "我想开了",
|
||||
"description": "想开 佛系 释怀 顿悟 看淡了 无所谓",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"害羞": {
|
||||
"sticker_id": "130", "package_id": "1003", "name": "害羞",
|
||||
"description": "腼腆 不好意思 脸红 娇羞 羞涩 捂脸",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"比心": {
|
||||
"sticker_id": "252", "package_id": "1003", "name": "比心",
|
||||
"description": "笔芯 爱你 爱心手势 love heart 喜欢你",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"委屈": {
|
||||
"sticker_id": "125", "package_id": "1003", "name": "委屈",
|
||||
"description": "难过 想哭 可怜巴巴 瘪嘴 受伤 被欺负",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"亲亲": {
|
||||
"sticker_id": "146", "package_id": "1003", "name": "亲亲",
|
||||
"description": "么么 mua 亲一下 kiss 飞吻 啵",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"酷": {
|
||||
"sticker_id": "131", "package_id": "1003", "name": "酷",
|
||||
"description": "帅 墨镜 cool 高冷 有型 swagger",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"睡": {
|
||||
"sticker_id": "145", "package_id": "1003", "name": "睡",
|
||||
"description": "睡觉 困 zzZ 打盹 躺平 休眠 sleepy",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"发呆": {
|
||||
"sticker_id": "152", "package_id": "1003", "name": "发呆",
|
||||
"description": "懵 愣住 放空 呆滞 出神 脑子空白",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"可怜": {
|
||||
"sticker_id": "157", "package_id": "1003", "name": "可怜",
|
||||
"description": "卖萌 求饶 委屈巴巴 弱小 拜托 眼巴巴",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"摊手": {
|
||||
"sticker_id": "200", "package_id": "1003", "name": "摊手",
|
||||
"description": "无奈 没办法 耸肩 随便 那咋整 whatever",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"头大": {
|
||||
"sticker_id": "213", "package_id": "1003", "name": "头大",
|
||||
"description": "头疼 烦恼 郁闷 难搞 崩溃 一团乱",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"吓": {
|
||||
"sticker_id": "256", "package_id": "1003", "name": "吓",
|
||||
"description": "害怕 惊恐 震惊 吓一跳 恐怖 怂",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"吐血": {
|
||||
"sticker_id": "203", "package_id": "1003", "name": "吐血",
|
||||
"description": "无语 崩溃 被雷 内伤 一口老血 屮",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"哼": {
|
||||
"sticker_id": "185", "package_id": "1003", "name": "哼",
|
||||
"description": "傲娇 生气 不满 撇嘴 不理 赌气",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"嘿嘿": {
|
||||
"sticker_id": "220", "package_id": "1003", "name": "嘿嘿",
|
||||
"description": "坏笑 猥琐笑 偷笑 憨笑 得意 你懂的",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"头秃": {
|
||||
"sticker_id": "218", "package_id": "1003", "name": "头秃",
|
||||
"description": "程序员 加班 焦虑 没头发 秃了 肝爆",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"暗中观察": {
|
||||
"sticker_id": "221", "package_id": "1003", "name": "暗中观察",
|
||||
"description": "窥屏 潜水 偷偷看 角落 围观 屏住呼吸",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"我酸了": {
|
||||
"sticker_id": "224", "package_id": "1003", "name": "我酸了",
|
||||
"description": "嫉妒 柠檬精 羡慕 吃柠檬 眼红 恰柠檬",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"打call": {
|
||||
"sticker_id": "246", "package_id": "1003", "name": "打call",
|
||||
"description": "应援 加油 支持 喝彩 助威 call",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"庆祝": {
|
||||
"sticker_id": "251", "package_id": "1003", "name": "庆祝",
|
||||
"description": "祝贺 开心 耶 party 胜利 干杯",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"奋斗": {
|
||||
"sticker_id": "151", "package_id": "1003", "name": "奋斗",
|
||||
"description": "努力 加油 拼搏 冲 干劲 卷起来",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"惊讶": {
|
||||
"sticker_id": "143", "package_id": "1003", "name": "惊讶",
|
||||
"description": "震惊 哇 不敢相信 OMG 居然 这么离谱",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"疑问": {
|
||||
"sticker_id": "144", "package_id": "1003", "name": "疑问",
|
||||
"description": "问号 不懂 啥 为什么 啥情况 懵逼问",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"仔细分析": {
|
||||
"sticker_id": "248", "package_id": "1003", "name": "仔细分析",
|
||||
"description": "思考 推敲 认真 研究 琢磨 让我想想",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"撅嘴": {
|
||||
"sticker_id": "184", "package_id": "1003", "name": "撅嘴",
|
||||
"description": "嘟嘴 卖萌 不高兴 撒娇 嘴翘",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"泪奔": {
|
||||
"sticker_id": "199", "package_id": "1003", "name": "泪奔",
|
||||
"description": "大哭 伤心 破防 感动哭 泪流满面 呜呜",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"尊嘟假嘟": {
|
||||
"sticker_id": "276", "package_id": "1003", "name": "尊嘟假嘟",
|
||||
"description": "真的假的 真假 可爱问 你骗我 是不是",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"略略略": {
|
||||
"sticker_id": "113", "package_id": "1003", "name": "略略略",
|
||||
"description": "调皮 吐舌 不服 略 气死你 鬼脸",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"困": {
|
||||
"sticker_id": "180", "package_id": "1003", "name": "困",
|
||||
"description": "想睡 倦 打哈欠 睁不开眼 好困啊 sleepy",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"折磨": {
|
||||
"sticker_id": "181", "package_id": "1003", "name": "折磨",
|
||||
"description": "难受 痛苦 煎熬 蚌埠住了 受不了 要命",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"抠鼻": {
|
||||
"sticker_id": "182", "package_id": "1003", "name": "抠鼻",
|
||||
"description": "不屑 无聊 淡定 无所谓 鄙视 挖鼻",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"鼓掌": {
|
||||
"sticker_id": "183", "package_id": "1003", "name": "鼓掌",
|
||||
"description": "拍手 叫好 赞同 666 喝彩 掌声",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"斜眼笑": {
|
||||
"sticker_id": "204", "package_id": "1003", "name": "斜眼笑",
|
||||
"description": "滑稽 坏笑 doge 意味深长 阴阳怪气 嘿嘿嘿",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"辣眼睛": {
|
||||
"sticker_id": "216", "package_id": "1003", "name": "辣眼睛",
|
||||
"description": "看不下去 cringe 毁三观 太丑了 瞎了",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"哦哟": {
|
||||
"sticker_id": "217", "package_id": "1003", "name": "哦哟",
|
||||
"description": "惊讶 起哄 哇哦 有戏 不简单 哟",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"吃瓜": {
|
||||
"sticker_id": "222", "package_id": "1003", "name": "吃瓜",
|
||||
"description": "围观 看戏 八卦 路人 看热闹 板凳",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"狗头": {
|
||||
"sticker_id": "225", "package_id": "1003", "name": "狗头",
|
||||
"description": "doge 保命 开玩笑 滑稽 反讽 懂的都懂",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"敬礼": {
|
||||
"sticker_id": "227", "package_id": "1003", "name": "敬礼",
|
||||
"description": "salute 尊重 收到 遵命 致敬 报告",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"哦": {
|
||||
"sticker_id": "231", "package_id": "1003", "name": "哦",
|
||||
"description": "知道了 明白 敷衍 嗯 这样啊 收到",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"拿到红包": {
|
||||
"sticker_id": "236", "package_id": "1003", "name": "拿到红包",
|
||||
"description": "红包 谢谢老板 发财 开心 抢到了 欧气",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"牛吖": {
|
||||
"sticker_id": "239", "package_id": "1003", "name": "牛吖",
|
||||
"description": "牛 厉害 强 666 佩服 大佬",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"贴贴": {
|
||||
"sticker_id": "272", "package_id": "1003", "name": "贴贴",
|
||||
"description": "抱抱 亲昵 蹭蹭 亲密 靠靠 撒娇贴",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"爱心": {
|
||||
"sticker_id": "138", "package_id": "1003", "name": "爱心",
|
||||
"description": "心 love 喜欢你 红心 示爱 么么哒",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"晚安": {
|
||||
"sticker_id": "170", "package_id": "1003", "name": "晚安",
|
||||
"description": "好梦 睡了 night 早点休息 安啦 moon",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"太阳": {
|
||||
"sticker_id": "176", "package_id": "1003", "name": "太阳",
|
||||
"description": "晴天 早上好 阳光 morning 好天气 日",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"柠檬": {
|
||||
"sticker_id": "266", "package_id": "1003", "name": "柠檬",
|
||||
"description": "酸 嫉妒 柠檬精 羡慕 我酸 恰柠檬",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"大冤种": {
|
||||
"sticker_id": "267", "package_id": "1003", "name": "大冤种",
|
||||
"description": "倒霉 吃亏 自嘲 好心没好报 背锅 工具人",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"吐了": {
|
||||
"sticker_id": "132", "package_id": "1003", "name": "吐了",
|
||||
"description": "恶心 yue 受不了 嫌弃 想吐 生理不适",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"怒": {
|
||||
"sticker_id": "134", "package_id": "1003", "name": "怒",
|
||||
"description": "生气 愤怒 火大 暴躁 气炸 怼",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"玫瑰": {
|
||||
"sticker_id": "165", "package_id": "1003", "name": "玫瑰",
|
||||
"description": "花 示爱 表白 浪漫 送你花 情人节",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"凋谢": {
|
||||
"sticker_id": "119", "package_id": "1003", "name": "凋谢",
|
||||
"description": "花谢 失恋 难过 枯萎 心碎 凉了",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"点赞": {
|
||||
"sticker_id": "159", "package_id": "1003", "name": "点赞",
|
||||
"description": "赞 认同 好棒 good like 大拇指 顶",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"握手": {
|
||||
"sticker_id": "164", "package_id": "1003", "name": "握手",
|
||||
"description": "合作 你好 商务 hello deal 成交 友好",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"抱拳": {
|
||||
"sticker_id": "163", "package_id": "1003", "name": "抱拳",
|
||||
"description": "谢谢 失敬 江湖 承让 拜托 有礼",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"ok": {
|
||||
"sticker_id": "169", "package_id": "1003", "name": "ok",
|
||||
"description": "好的 收到 没问题 okay 行 可以 懂了",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"拳头": {
|
||||
"sticker_id": "174", "package_id": "1003", "name": "拳头",
|
||||
"description": "加油 干 冲 fight 力量 击拳 硬气",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"鞭炮": {
|
||||
"sticker_id": "191", "package_id": "1003", "name": "鞭炮",
|
||||
"description": "过年 喜庆 爆竹 春节 噼里啪啦 红",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
"烟花": {
|
||||
"sticker_id": "258", "package_id": "1003", "name": "烟花",
|
||||
"description": "庆典 漂亮 新年 嘭 绽放 节日快乐",
|
||||
"width": 128, "height": 128, "formats": "png",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def get_sticker_by_name(name: str) -> Optional[dict]:
|
||||
"""
|
||||
按名称查找贴纸,支持模糊匹配。
|
||||
|
||||
匹配优先级:
|
||||
1. 完全相等(name)
|
||||
2. name 包含查询词(前缀/子串)
|
||||
3. description 包含查询词(同义词搜索)
|
||||
4. 通用模糊评分(与 sticker-search 同算法),命中即返回得分最高的一条
|
||||
|
||||
返回 sticker dict,找不到返回 None。
|
||||
"""
|
||||
if not name:
|
||||
return None
|
||||
|
||||
query = name.strip()
|
||||
|
||||
if query in STICKER_MAP:
|
||||
return STICKER_MAP[query]
|
||||
|
||||
for key, sticker in STICKER_MAP.items():
|
||||
if query in key or key in query:
|
||||
return sticker
|
||||
|
||||
for sticker in STICKER_MAP.values():
|
||||
desc = sticker.get("description", "")
|
||||
if query in desc:
|
||||
return sticker
|
||||
|
||||
matches = search_stickers(query, limit=1)
|
||||
return matches[0] if matches else None
|
||||
|
||||
|
||||
def get_random_sticker(category: str = None) -> dict:
|
||||
"""
|
||||
随机返回一个贴纸。
|
||||
|
||||
若指定 category,则在 description 中含有该关键词的贴纸里随机选取;
|
||||
category 为 None 时从全表随机。
|
||||
"""
|
||||
if category:
|
||||
candidates = [
|
||||
s for s in STICKER_MAP.values()
|
||||
if category in s.get("description", "") or category in s.get("name", "")
|
||||
]
|
||||
if candidates:
|
||||
return random.choice(candidates)
|
||||
return random.choice(list(STICKER_MAP.values()))
|
||||
|
||||
|
||||
def get_sticker_by_id(sticker_id: str) -> Optional[dict]:
|
||||
"""按 sticker_id 精确查找贴纸。"""
|
||||
if not sticker_id:
|
||||
return None
|
||||
sid = str(sticker_id).strip()
|
||||
for sticker in STICKER_MAP.values():
|
||||
if sticker.get("sticker_id") == sid:
|
||||
return sticker
|
||||
return None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 模糊搜索(对齐 chatbot-web yuanbao-openclaw-plugin/sticker-cache.ts.searchStickers)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_PUNCT_RE = re.compile(r"[\s\u3000\-_·.,,。!!??\"“”'‘’、/\\]+")
|
||||
|
||||
|
||||
def _normalize_text(raw: str) -> str:
|
||||
return unicodedata.normalize("NFKC", str(raw or "")).strip().lower()
|
||||
|
||||
|
||||
def _compact_text(raw: str) -> str:
|
||||
return _PUNCT_RE.sub("", _normalize_text(raw))
|
||||
|
||||
|
||||
def _multiset_char_hit_ratio(needle: str, haystack: str) -> float:
|
||||
if not needle:
|
||||
return 0.0
|
||||
bag: dict[str, int] = {}
|
||||
for ch in haystack:
|
||||
bag[ch] = bag.get(ch, 0) + 1
|
||||
hits = 0
|
||||
for ch in needle:
|
||||
n = bag.get(ch, 0)
|
||||
if n > 0:
|
||||
hits += 1
|
||||
bag[ch] = n - 1
|
||||
return hits / len(needle)
|
||||
|
||||
|
||||
def _bigram_jaccard(a: str, b: str) -> float:
|
||||
if len(a) < 2 or len(b) < 2:
|
||||
return 0.0
|
||||
A = {a[i:i + 2] for i in range(len(a) - 1)}
|
||||
B = {b[i:i + 2] for i in range(len(b) - 1)}
|
||||
inter = len(A & B)
|
||||
union = len(A) + len(B) - inter
|
||||
return inter / union if union else 0.0
|
||||
|
||||
|
||||
def _longest_subsequence_ratio(needle: str, haystack: str) -> float:
|
||||
if not needle:
|
||||
return 0.0
|
||||
j = 0
|
||||
for ch in haystack:
|
||||
if j >= len(needle):
|
||||
break
|
||||
if ch == needle[j]:
|
||||
j += 1
|
||||
return j / len(needle)
|
||||
|
||||
|
||||
def _score_field(haystack: str, query: str) -> float:
|
||||
hay = _normalize_text(haystack)
|
||||
q = _normalize_text(query)
|
||||
if not hay or not q:
|
||||
return 0.0
|
||||
hay_c = _compact_text(haystack)
|
||||
q_c = _compact_text(query)
|
||||
best = 0.0
|
||||
if hay == q:
|
||||
best = max(best, 100.0)
|
||||
if q in hay:
|
||||
best = max(best, 92 + min(6, len(q)))
|
||||
if len(q) >= 2 and hay.startswith(q):
|
||||
best = max(best, 88.0)
|
||||
if q_c and q_c in hay_c:
|
||||
best = max(best, 86.0)
|
||||
best = max(best, _multiset_char_hit_ratio(q_c, hay_c) * 62)
|
||||
best = max(best, _bigram_jaccard(q_c, hay_c) * 58)
|
||||
best = max(best, _longest_subsequence_ratio(q_c, hay_c) * 52)
|
||||
if len(q) == 1 and q in hay:
|
||||
best = max(best, 68.0)
|
||||
return best
|
||||
|
||||
|
||||
def search_stickers(query: str, limit: int = 10) -> list[dict]:
|
||||
"""
|
||||
在内置贴纸表中按模糊匹配排序返回前 N 条结果。
|
||||
|
||||
评分综合 name/description 字段的子串、字符多重集覆盖、bigram Jaccard、子序列比例。
|
||||
name 权重略高于 description(×0.88)。空 query 时按字典顺序返回前 N 条。
|
||||
"""
|
||||
safe_limit = max(1, min(500, int(limit) if limit else 10))
|
||||
if not query or not _normalize_text(query):
|
||||
return list(STICKER_MAP.values())[:safe_limit]
|
||||
|
||||
scored: list[tuple[float, dict]] = []
|
||||
for sticker in STICKER_MAP.values():
|
||||
name_s = _score_field(sticker.get("name", ""), query)
|
||||
desc_s = _score_field(sticker.get("description", ""), query) * 0.88
|
||||
sid = str(sticker.get("sticker_id", "")).strip()
|
||||
q_norm = _normalize_text(query)
|
||||
id_s = 0.0
|
||||
if sid and q_norm:
|
||||
sid_norm = _normalize_text(sid)
|
||||
if sid_norm == q_norm:
|
||||
id_s = 100.0
|
||||
elif q_norm in sid_norm:
|
||||
id_s = 84.0
|
||||
scored.append((max(name_s, desc_s, id_s), sticker))
|
||||
|
||||
scored.sort(key=lambda x: x[0], reverse=True)
|
||||
top = scored[0][0] if scored else 0
|
||||
if top <= 0:
|
||||
return [s for _, s in scored[:safe_limit]]
|
||||
|
||||
if top >= 22:
|
||||
floor = 18.0
|
||||
elif top >= 12:
|
||||
floor = max(10.0, top * 0.5)
|
||||
else:
|
||||
floor = max(6.0, top * 0.35)
|
||||
|
||||
filtered = [pair for pair in scored if pair[0] >= floor]
|
||||
out = filtered if filtered else scored
|
||||
return [s for _, s in out[:safe_limit]]
|
||||
|
||||
|
||||
def build_face_msg_body(
|
||||
face_index: int,
|
||||
face_type: int = 1,
|
||||
data: Optional[str] = None,
|
||||
) -> list:
|
||||
"""
|
||||
构造 TIMFaceElem 消息体。
|
||||
|
||||
Yuanbao 约定:
|
||||
- index 固定传 0(服务端通过 data 字段识别具体表情)
|
||||
- data 为 JSON 字符串,包含 sticker_id / package_id 等字段
|
||||
|
||||
Args:
|
||||
face_index: 保留字段,暂时不影响 wire format(Yuanbao 固定 index=0)。
|
||||
当 face_index > 0 时视为旧版 QQ 表情 ID,直接放入 index。
|
||||
face_type: 保留字段(兼容旧接口,当前未使用)。
|
||||
data: 已序列化的 JSON 字符串;为 None 时仅传 index。
|
||||
|
||||
Returns:
|
||||
符合 Yuanbao TIM 协议的 msg_body list,如::
|
||||
|
||||
[{"msg_type": "TIMFaceElem", "msg_content": {"index": 0, "data": "..."}}]
|
||||
"""
|
||||
msg_content: dict = {"index": face_index}
|
||||
if data is not None:
|
||||
msg_content["data"] = data
|
||||
return [{"msg_type": "TIMFaceElem", "msg_content": msg_content}]
|
||||
|
||||
|
||||
def build_sticker_msg_body(sticker: dict) -> list:
|
||||
"""
|
||||
从 STICKER_MAP 中的 sticker dict 直接构造 TIMFaceElem 消息体。
|
||||
|
||||
这是 send_sticker() 的内部辅助,确保 data 字段与原始 JS 插件一致。
|
||||
"""
|
||||
data_payload = json.dumps(
|
||||
{
|
||||
"sticker_id": sticker["sticker_id"],
|
||||
"package_id": sticker["package_id"],
|
||||
"width": sticker.get("width", 128),
|
||||
"height": sticker.get("height", 128),
|
||||
"formats": sticker.get("formats", "png"),
|
||||
"name": sticker["name"],
|
||||
},
|
||||
ensure_ascii=False,
|
||||
separators=(",", ":"),
|
||||
)
|
||||
return build_face_msg_body(face_index=0, data=data_payload)
|
||||
+561
-1371
File diff suppressed because it is too large
Load Diff
@@ -1,150 +0,0 @@
|
||||
"""Gateway runtime-metadata footer.
|
||||
|
||||
Renders a compact footer showing runtime state (model, context %, cwd) and
|
||||
appends it to the FINAL message of an agent turn when enabled. Off by default
|
||||
to keep replies minimal.
|
||||
|
||||
Config (``~/.hermes/config.yaml``)::
|
||||
|
||||
display:
|
||||
runtime_footer:
|
||||
enabled: true # off by default
|
||||
fields: [model, context_pct, cwd] # order shown; drop any to hide
|
||||
|
||||
Per-platform overrides live under ``display.platforms.<platform>.runtime_footer``.
|
||||
Users can toggle the global setting with ``/footer on|off`` from both the CLI
|
||||
and any gateway platform.
|
||||
|
||||
The footer is appended to the final response text in ``gateway/run.py`` right
|
||||
before returning the response to the adapter send path — so it only lands on
|
||||
the final message a user sees, not on tool-progress updates or streaming
|
||||
partials. When streaming is on and the final text has already been delivered
|
||||
piecemeal, the footer is sent as a separate trailing message via
|
||||
``send_trailing_footer()``.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Any, Iterable, Optional
|
||||
|
||||
_DEFAULT_FIELDS: tuple[str, ...] = ("model", "context_pct", "cwd")
|
||||
_SEP = " · "
|
||||
|
||||
|
||||
def _home_relative_cwd(cwd: str) -> str:
|
||||
"""Return *cwd* with ``$HOME`` collapsed to ``~``. Empty string if unset."""
|
||||
if not cwd:
|
||||
return ""
|
||||
try:
|
||||
home = os.path.expanduser("~")
|
||||
p = os.path.abspath(cwd)
|
||||
if home and (p == home or p.startswith(home + os.sep)):
|
||||
return "~" + p[len(home):]
|
||||
return p
|
||||
except Exception:
|
||||
return cwd
|
||||
|
||||
|
||||
def _model_short(model: Optional[str]) -> str:
|
||||
"""Drop ``vendor/`` prefix for readability (``openai/gpt-5.4`` → ``gpt-5.4``)."""
|
||||
if not model:
|
||||
return ""
|
||||
return model.rsplit("/", 1)[-1]
|
||||
|
||||
|
||||
def resolve_footer_config(
|
||||
user_config: dict[str, Any] | None,
|
||||
platform_key: str | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Resolve effective runtime-footer config for *platform_key*.
|
||||
|
||||
Merge order (later wins):
|
||||
1. Built-in defaults (enabled=False)
|
||||
2. ``display.runtime_footer``
|
||||
3. ``display.platforms.<platform_key>.runtime_footer``
|
||||
"""
|
||||
resolved = {"enabled": False, "fields": list(_DEFAULT_FIELDS)}
|
||||
cfg = (user_config or {}).get("display") or {}
|
||||
|
||||
global_cfg = cfg.get("runtime_footer")
|
||||
if isinstance(global_cfg, dict):
|
||||
if "enabled" in global_cfg:
|
||||
resolved["enabled"] = bool(global_cfg.get("enabled"))
|
||||
if isinstance(global_cfg.get("fields"), list) and global_cfg["fields"]:
|
||||
resolved["fields"] = [str(f) for f in global_cfg["fields"]]
|
||||
|
||||
if platform_key:
|
||||
platforms = cfg.get("platforms") or {}
|
||||
plat_cfg = platforms.get(platform_key)
|
||||
if isinstance(plat_cfg, dict):
|
||||
plat_footer = plat_cfg.get("runtime_footer")
|
||||
if isinstance(plat_footer, dict):
|
||||
if "enabled" in plat_footer:
|
||||
resolved["enabled"] = bool(plat_footer.get("enabled"))
|
||||
if isinstance(plat_footer.get("fields"), list) and plat_footer["fields"]:
|
||||
resolved["fields"] = [str(f) for f in plat_footer["fields"]]
|
||||
|
||||
return resolved
|
||||
|
||||
|
||||
def format_runtime_footer(
|
||||
*,
|
||||
model: Optional[str],
|
||||
context_tokens: int,
|
||||
context_length: Optional[int],
|
||||
cwd: Optional[str] = None,
|
||||
fields: Iterable[str] = _DEFAULT_FIELDS,
|
||||
) -> str:
|
||||
"""Render the footer line, or return "" if no fields have data.
|
||||
|
||||
Fields are skipped silently when their underlying data is missing — a
|
||||
partially-populated footer is better than a line with ``?%`` or empty slots.
|
||||
"""
|
||||
parts: list[str] = []
|
||||
for field in fields:
|
||||
if field == "model":
|
||||
m = _model_short(model)
|
||||
if m:
|
||||
parts.append(m)
|
||||
elif field == "context_pct":
|
||||
if context_length and context_length > 0 and context_tokens >= 0:
|
||||
pct = max(0, min(100, round((context_tokens / context_length) * 100)))
|
||||
parts.append(f"{pct}%")
|
||||
elif field == "cwd":
|
||||
rel = _home_relative_cwd(cwd or os.environ.get("TERMINAL_CWD", ""))
|
||||
if rel:
|
||||
parts.append(rel)
|
||||
# Unknown field names are silently ignored.
|
||||
|
||||
if not parts:
|
||||
return ""
|
||||
return _SEP.join(parts)
|
||||
|
||||
|
||||
def build_footer_line(
|
||||
*,
|
||||
user_config: dict[str, Any] | None,
|
||||
platform_key: str | None,
|
||||
model: Optional[str],
|
||||
context_tokens: int,
|
||||
context_length: Optional[int],
|
||||
cwd: Optional[str] = None,
|
||||
) -> str:
|
||||
"""Top-level entry point used by gateway/run.py.
|
||||
|
||||
Returns the footer text (empty string when disabled or no data). Callers
|
||||
append this to the final response themselves, preserving a single blank
|
||||
line of separation.
|
||||
"""
|
||||
cfg = resolve_footer_config(user_config, platform_key)
|
||||
if not cfg.get("enabled"):
|
||||
return ""
|
||||
return format_runtime_footer(
|
||||
model=model,
|
||||
context_tokens=context_tokens,
|
||||
context_length=context_length,
|
||||
cwd=cwd,
|
||||
fields=cfg.get("fields") or _DEFAULT_FIELDS,
|
||||
)
|
||||
+35
-113
@@ -60,10 +60,6 @@ from .config import (
|
||||
SessionResetPolicy, # noqa: F401 — re-exported via gateway/__init__.py
|
||||
HomeChannel,
|
||||
)
|
||||
from .whatsapp_identity import (
|
||||
canonical_whatsapp_identifier,
|
||||
)
|
||||
from utils import atomic_replace
|
||||
|
||||
|
||||
@dataclass
|
||||
@@ -87,9 +83,6 @@ class SessionSource:
|
||||
user_id_alt: Optional[str] = None # Platform-specific stable alt ID (Signal UUID, Feishu union_id)
|
||||
chat_id_alt: Optional[str] = None # Signal group internal ID
|
||||
is_bot: bool = False # True when the message author is a bot/webhook (Discord)
|
||||
guild_id: Optional[str] = None # Discord guild / Slack workspace / Matrix server scope
|
||||
parent_chat_id: Optional[str] = None # Parent channel when chat_id refers to a thread
|
||||
message_id: Optional[str] = None # ID of the triggering message (for pin/reply/react)
|
||||
|
||||
@property
|
||||
def description(self) -> str:
|
||||
@@ -127,14 +120,8 @@ class SessionSource:
|
||||
d["user_id_alt"] = self.user_id_alt
|
||||
if self.chat_id_alt:
|
||||
d["chat_id_alt"] = self.chat_id_alt
|
||||
if self.guild_id:
|
||||
d["guild_id"] = self.guild_id
|
||||
if self.parent_chat_id:
|
||||
d["parent_chat_id"] = self.parent_chat_id
|
||||
if self.message_id:
|
||||
d["message_id"] = self.message_id
|
||||
return d
|
||||
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, data: Dict[str, Any]) -> "SessionSource":
|
||||
return cls(
|
||||
@@ -148,9 +135,6 @@ class SessionSource:
|
||||
chat_topic=data.get("chat_topic"),
|
||||
user_id_alt=data.get("user_id_alt"),
|
||||
chat_id_alt=data.get("chat_id_alt"),
|
||||
guild_id=data.get("guild_id"),
|
||||
parent_chat_id=data.get("parent_chat_id"),
|
||||
message_id=data.get("message_id"),
|
||||
)
|
||||
|
||||
|
||||
@@ -202,31 +186,6 @@ that requires raw IDs). Discord is excluded because mentions use ``<@user_id>``
|
||||
and the LLM needs the real ID to tag users."""
|
||||
|
||||
|
||||
def _discord_tools_loaded() -> bool:
|
||||
"""True iff the agent will actually have Discord tools this session.
|
||||
|
||||
Two conditions must hold:
|
||||
1. The `discord` or `discord_admin` toolset is enabled for the
|
||||
Discord platform via `hermes tools` (opt-in, default OFF).
|
||||
2. `DISCORD_BOT_TOKEN` is set — the tool's `check_fn` gates on it
|
||||
at registry time, so the toolset being enabled in config is not
|
||||
enough if the token isn't configured.
|
||||
|
||||
Returns False (safe default — keeps the stale-API disclaimer) on any
|
||||
error so a bad config can't silently promise tools the agent lacks.
|
||||
"""
|
||||
if not (os.environ.get("DISCORD_BOT_TOKEN") or "").strip():
|
||||
return False
|
||||
try:
|
||||
from hermes_cli.config import load_config
|
||||
from hermes_cli.tools_config import _get_platform_tools
|
||||
cfg = load_config()
|
||||
enabled = _get_platform_tools(cfg, "discord", include_default_mcp_servers=False)
|
||||
return "discord" in enabled or "discord_admin" in enabled
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
def build_session_context_prompt(
|
||||
context: SessionContext,
|
||||
*,
|
||||
@@ -310,57 +269,17 @@ def build_session_context_prompt(
|
||||
"**Platform notes:** You are running inside Slack. "
|
||||
"You do NOT have access to Slack-specific APIs — you cannot search "
|
||||
"channel history, pin/unpin messages, manage channels, or list users. "
|
||||
"Do not promise to perform these actions. The gateway may inline the "
|
||||
"current message's Slack block/attachment payload when available, but "
|
||||
"you still cannot call Slack APIs yourself."
|
||||
"Do not promise to perform these actions. If the user asks, explain "
|
||||
"that you can only read messages sent directly to you and respond."
|
||||
)
|
||||
elif context.source.platform == Platform.DISCORD:
|
||||
# Inject the Discord IDs block only when the agent actually has
|
||||
# Discord tools loaded this session — i.e. the user opted into
|
||||
# `discord` / `discord_admin` via `hermes tools` AND the bot
|
||||
# token is configured. Otherwise keep the stale-API disclaimer
|
||||
# honest so we never promise tools the agent lacks.
|
||||
if _discord_tools_loaded():
|
||||
src = context.source
|
||||
id_lines = ["", "**Discord IDs (for the `discord` / `discord_admin` tools):**"]
|
||||
if src.guild_id:
|
||||
id_lines.append(f" - Guild: `{src.guild_id}`")
|
||||
if src.thread_id and src.parent_chat_id:
|
||||
id_lines.append(f" - Parent channel: `{src.parent_chat_id}`")
|
||||
id_lines.append(f" - Thread: `{src.thread_id}` (use as `channel_id` for fetch_messages etc.)")
|
||||
else:
|
||||
id_lines.append(f" - Channel: `{src.chat_id}`")
|
||||
if src.message_id:
|
||||
id_lines.append(f" - Triggering message: `{src.message_id}`")
|
||||
lines.extend(id_lines)
|
||||
else:
|
||||
lines.append("")
|
||||
lines.append(
|
||||
"**Platform notes:** You are running inside Discord. "
|
||||
"You do NOT have access to Discord-specific APIs — you cannot search "
|
||||
"channel history, pin messages, manage roles, or list server members. "
|
||||
"Do not promise to perform these actions. If the user asks, explain "
|
||||
"that you can only read messages sent directly to you and respond."
|
||||
)
|
||||
elif context.source.platform == Platform.BLUEBUBBLES:
|
||||
lines.append("")
|
||||
lines.append(
|
||||
"**Platform notes:** You are responding via iMessage. "
|
||||
"Keep responses short and conversational — think texts, not essays. "
|
||||
"Structure longer replies as separate short thoughts, each separated "
|
||||
"by a blank line (double newline). Each block between blank lines "
|
||||
"will be delivered as its own iMessage bubble, so write accordingly: "
|
||||
"one idea per bubble, 1–3 sentences each. "
|
||||
"If the user needs a detailed answer, give the short version first "
|
||||
"and offer to elaborate."
|
||||
)
|
||||
elif context.source.platform == Platform.YUANBAO:
|
||||
lines.append("")
|
||||
lines.append(
|
||||
"**Platform notes:** You are running inside Yuanbao. "
|
||||
"You CAN send private (DM) messages via the send_message tool. "
|
||||
"Use target='yuanbao:direct:<account_id>' for DM "
|
||||
"and target='yuanbao:group:<group_code>' for group chat."
|
||||
"**Platform notes:** You are running inside Discord. "
|
||||
"You do NOT have access to Discord-specific APIs — you cannot search "
|
||||
"channel history, pin messages, manage roles, or list server members. "
|
||||
"Do not promise to perform these actions. If the user asks, explain "
|
||||
"that you can only read messages sent directly to you and respond."
|
||||
)
|
||||
|
||||
# Connected platforms
|
||||
@@ -448,11 +367,11 @@ class SessionEntry:
|
||||
auto_reset_reason: Optional[str] = None # "idle" or "daily"
|
||||
reset_had_activity: bool = False # whether the expired session had any messages
|
||||
|
||||
# Set by the background expiry watcher after it finalizes an expired
|
||||
# session (invoking on_session_finalize hooks and evicting the cached
|
||||
# agent). Persisted to sessions.json so the flag survives gateway
|
||||
# restarts — prevents redundant finalization runs.
|
||||
expiry_finalized: bool = False
|
||||
# Set by the background expiry watcher after it successfully flushes
|
||||
# memories for this session. Persisted to sessions.json so the flag
|
||||
# survives gateway restarts (the old in-memory _pre_flushed_sessions
|
||||
# set was lost on restart, causing redundant re-flushes).
|
||||
memory_flushed: bool = False
|
||||
|
||||
# When True the next call to get_or_create_session() will auto-reset
|
||||
# this session (create a new session_id) so the user starts fresh.
|
||||
@@ -488,7 +407,7 @@ class SessionEntry:
|
||||
"last_prompt_tokens": self.last_prompt_tokens,
|
||||
"estimated_cost_usd": self.estimated_cost_usd,
|
||||
"cost_status": self.cost_status,
|
||||
"expiry_finalized": self.expiry_finalized,
|
||||
"memory_flushed": self.memory_flushed,
|
||||
"suspended": self.suspended,
|
||||
"resume_pending": self.resume_pending,
|
||||
"resume_reason": self.resume_reason,
|
||||
@@ -540,7 +459,7 @@ class SessionEntry:
|
||||
last_prompt_tokens=data.get("last_prompt_tokens", 0),
|
||||
estimated_cost_usd=data.get("estimated_cost_usd", 0.0),
|
||||
cost_status=data.get("cost_status", "unknown"),
|
||||
expiry_finalized=data.get("expiry_finalized", data.get("memory_flushed", False)),
|
||||
memory_flushed=data.get("memory_flushed", False),
|
||||
suspended=data.get("suspended", False),
|
||||
resume_pending=data.get("resume_pending", False),
|
||||
resume_reason=data.get("resume_reason"),
|
||||
@@ -599,24 +518,15 @@ def build_session_key(
|
||||
"""
|
||||
platform = source.platform.value
|
||||
if source.chat_type == "dm":
|
||||
dm_chat_id = source.chat_id
|
||||
if source.platform == Platform.WHATSAPP:
|
||||
dm_chat_id = canonical_whatsapp_identifier(source.chat_id)
|
||||
|
||||
if dm_chat_id:
|
||||
if source.chat_id:
|
||||
if source.thread_id:
|
||||
return f"agent:main:{platform}:dm:{dm_chat_id}:{source.thread_id}"
|
||||
return f"agent:main:{platform}:dm:{dm_chat_id}"
|
||||
return f"agent:main:{platform}:dm:{source.chat_id}:{source.thread_id}"
|
||||
return f"agent:main:{platform}:dm:{source.chat_id}"
|
||||
if source.thread_id:
|
||||
return f"agent:main:{platform}:dm:{source.thread_id}"
|
||||
return f"agent:main:{platform}:dm"
|
||||
|
||||
participant_id = source.user_id_alt or source.user_id
|
||||
if participant_id and source.platform == Platform.WHATSAPP:
|
||||
# Same JID/LID-flip bug as the DM case: without canonicalisation, a
|
||||
# single group member gets two isolated per-user sessions when the
|
||||
# bridge reshuffles alias forms.
|
||||
participant_id = canonical_whatsapp_identifier(str(participant_id)) or participant_id
|
||||
key_parts = ["agent:main", platform, source.chat_type]
|
||||
|
||||
if source.chat_id:
|
||||
@@ -705,7 +615,7 @@ class SessionStore:
|
||||
json.dump(data, f, indent=2)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, sessions_file)
|
||||
os.replace(tmp_path, sessions_file)
|
||||
except BaseException:
|
||||
try:
|
||||
os.unlink(tmp_path)
|
||||
@@ -1241,7 +1151,6 @@ class SessionStore:
|
||||
reasoning_content=message.get("reasoning_content") if message.get("role") == "assistant" else None,
|
||||
reasoning_details=message.get("reasoning_details") if message.get("role") == "assistant" else None,
|
||||
codex_reasoning_items=message.get("codex_reasoning_items") if message.get("role") == "assistant" else None,
|
||||
codex_message_items=message.get("codex_message_items") if message.get("role") == "assistant" else None,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.debug("Session DB operation failed: %s", e)
|
||||
@@ -1257,11 +1166,24 @@ class SessionStore:
|
||||
Used by /retry, /undo, and /compress to persist modified conversation history.
|
||||
Rewrites both SQLite and legacy JSONL storage.
|
||||
"""
|
||||
# SQLite: replace atomically so a mid-rewrite failure doesn't leave
|
||||
# the session half-empty in the DB while JSONL still has history.
|
||||
# SQLite: clear old messages and re-insert
|
||||
if self._db:
|
||||
try:
|
||||
self._db.replace_messages(session_id, messages)
|
||||
self._db.clear_messages(session_id)
|
||||
for msg in messages:
|
||||
role = msg.get("role", "unknown")
|
||||
self._db.append_message(
|
||||
session_id=session_id,
|
||||
role=role,
|
||||
content=msg.get("content"),
|
||||
tool_name=msg.get("tool_name"),
|
||||
tool_calls=msg.get("tool_calls"),
|
||||
tool_call_id=msg.get("tool_call_id"),
|
||||
reasoning=msg.get("reasoning") if role == "assistant" else None,
|
||||
reasoning_content=msg.get("reasoning_content") if role == "assistant" else None,
|
||||
reasoning_details=msg.get("reasoning_details") if role == "assistant" else None,
|
||||
codex_reasoning_items=msg.get("codex_reasoning_items") if role == "assistant" else None,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.debug("Failed to rewrite transcript in DB: %s", e)
|
||||
|
||||
|
||||
@@ -44,14 +44,6 @@ class StreamConsumerConfig:
|
||||
buffer_threshold: int = 40
|
||||
cursor: str = " ▉"
|
||||
buffer_only: bool = False
|
||||
# When >0, the final edit for a streamed response is delivered as a
|
||||
# fresh message if the original preview has been visible for at least
|
||||
# this many seconds. This makes the platform's visible timestamp
|
||||
# reflect completion time instead of first-token time for long-running
|
||||
# responses (e.g. reasoning models that stream slowly). Ported from
|
||||
# openclaw/openclaw#72038. Default 0 = always edit in place (legacy
|
||||
# behavior). The gateway enables this selectively per-platform.
|
||||
fresh_final_after_seconds: float = 0.0
|
||||
|
||||
|
||||
class GatewayStreamConsumer:
|
||||
@@ -99,12 +91,6 @@ class GatewayStreamConsumer:
|
||||
self._queue: queue.Queue = queue.Queue()
|
||||
self._accumulated = ""
|
||||
self._message_id: Optional[str] = None
|
||||
# Wall-clock timestamp (time.monotonic) when ``_message_id`` was
|
||||
# first assigned from a successful first-send. Used by the
|
||||
# fresh-final logic to detect long-lived previews whose edit
|
||||
# timestamps would be stale by completion time. Ported from
|
||||
# openclaw/openclaw#72038.
|
||||
self._message_created_ts: Optional[float] = None
|
||||
self._already_sent = False
|
||||
self._edit_supported = True # Disabled when progressive edits are no longer usable
|
||||
self._last_edit_time = 0.0
|
||||
@@ -150,7 +136,6 @@ class GatewayStreamConsumer:
|
||||
if preserve_no_edit and self._message_id == "__no_edit__":
|
||||
return
|
||||
self._message_id = None
|
||||
self._message_created_ts = None
|
||||
self._accumulated = ""
|
||||
self._last_sent_text = ""
|
||||
self._fallback_final_send = False
|
||||
@@ -749,81 +734,6 @@ class GatewayStreamConsumer:
|
||||
logger.error("Commentary send error: %s", e)
|
||||
return False
|
||||
|
||||
def _should_send_fresh_final(self) -> bool:
|
||||
"""Return True when a long-lived preview should be replaced with a
|
||||
fresh final message instead of an edit.
|
||||
|
||||
Conditions:
|
||||
- Fresh-final is enabled (``fresh_final_after_seconds > 0``).
|
||||
- We have a real preview message id (not the ``__no_edit__`` sentinel
|
||||
and not ``None``).
|
||||
- The preview has been visible for at least the configured threshold.
|
||||
|
||||
Ported from openclaw/openclaw#72038.
|
||||
"""
|
||||
threshold = getattr(self.cfg, "fresh_final_after_seconds", 0.0) or 0.0
|
||||
if threshold <= 0:
|
||||
return False
|
||||
if not self._message_id or self._message_id == "__no_edit__":
|
||||
return False
|
||||
if self._message_created_ts is None:
|
||||
return False
|
||||
age = time.monotonic() - self._message_created_ts
|
||||
return age >= threshold
|
||||
|
||||
async def _try_fresh_final(self, text: str) -> bool:
|
||||
"""Send ``text`` as a brand-new message (best-effort delete the old
|
||||
preview) so the platform's visible timestamp reflects completion
|
||||
time. Returns True on successful delivery, False on any failure so
|
||||
the caller falls back to the normal edit path.
|
||||
|
||||
Ported from openclaw/openclaw#72038.
|
||||
"""
|
||||
old_message_id = self._message_id
|
||||
try:
|
||||
result = await self.adapter.send(
|
||||
chat_id=self.chat_id,
|
||||
content=text,
|
||||
metadata=self.metadata,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.debug("Fresh-final send failed, falling back to edit: %s", e)
|
||||
return False
|
||||
if not getattr(result, "success", False):
|
||||
return False
|
||||
# Successful fresh send — try to delete the stale preview so the
|
||||
# user doesn't see the old edit-stuck message underneath. Cleanup
|
||||
# is best-effort; platforms that don't implement ``delete_message``
|
||||
# just leave the preview behind (still an acceptable outcome —
|
||||
# the visible final timestamp is the important part).
|
||||
if old_message_id and old_message_id != "__no_edit__":
|
||||
delete_fn = getattr(self.adapter, "delete_message", None)
|
||||
if delete_fn is not None:
|
||||
try:
|
||||
await delete_fn(self.chat_id, old_message_id)
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
"Fresh-final preview cleanup failed (%s): %s",
|
||||
old_message_id, e,
|
||||
)
|
||||
# Adopt the new message id as the current message so subsequent
|
||||
# callers (e.g. overflow split loops, finalize retries) see a
|
||||
# consistent state.
|
||||
new_message_id = getattr(result, "message_id", None)
|
||||
if new_message_id:
|
||||
self._message_id = new_message_id
|
||||
self._message_created_ts = time.monotonic()
|
||||
else:
|
||||
# Send succeeded but platform didn't return an id — treat the
|
||||
# delivery as final-only and fall back to "__no_edit__" so we
|
||||
# don't try to edit something we can't address.
|
||||
self._message_id = "__no_edit__"
|
||||
self._message_created_ts = None
|
||||
self._already_sent = True
|
||||
self._last_sent_text = text
|
||||
self._final_response_sent = True
|
||||
return True
|
||||
|
||||
async def _send_or_edit(self, text: str, *, finalize: bool = False) -> bool:
|
||||
"""Send or edit the streaming message.
|
||||
|
||||
@@ -876,22 +786,6 @@ class GatewayStreamConsumer:
|
||||
finalize and self._adapter_requires_finalize
|
||||
):
|
||||
return True
|
||||
# Fresh-final for long-lived previews: when finalizing
|
||||
# the last edit in a streaming sequence, if the
|
||||
# original preview has been visible for at least
|
||||
# ``fresh_final_after_seconds``, send the completed
|
||||
# reply as a fresh message so the platform's visible
|
||||
# timestamp reflects completion time instead of the
|
||||
# preview creation time. Best-effort cleanup of the
|
||||
# old preview follows. Ported from
|
||||
# openclaw/openclaw#72038. Gated by config so the
|
||||
# legacy edit-in-place path stays the default.
|
||||
if (
|
||||
finalize
|
||||
and self._should_send_fresh_final()
|
||||
and await self._try_fresh_final(text)
|
||||
):
|
||||
return True
|
||||
# Edit existing message
|
||||
result = await self.adapter.edit_message(
|
||||
chat_id=self.chat_id,
|
||||
@@ -958,10 +852,6 @@ class GatewayStreamConsumer:
|
||||
if result.success:
|
||||
if result.message_id:
|
||||
self._message_id = result.message_id
|
||||
# Track when the preview first became visible to
|
||||
# the user so fresh-final logic can detect stale
|
||||
# preview timestamps on long-running responses.
|
||||
self._message_created_ts = time.monotonic()
|
||||
else:
|
||||
self._edit_supported = False
|
||||
self._already_sent = True
|
||||
|
||||
@@ -1,155 +0,0 @@
|
||||
"""Shared helpers for canonicalising WhatsApp sender identity.
|
||||
|
||||
WhatsApp's bridge can surface the same human under two different JID shapes
|
||||
within a single conversation:
|
||||
|
||||
- LID form: ``999999999999999@lid``
|
||||
- Phone form: ``15551234567@s.whatsapp.net``
|
||||
|
||||
Both the authorisation path (:mod:`gateway.run`) and the session-key path
|
||||
(:mod:`gateway.session`) need to collapse these aliases to a single stable
|
||||
identity. This module is the single source of truth for that resolution so
|
||||
the two paths can never drift apart.
|
||||
|
||||
Public helpers:
|
||||
|
||||
- :func:`normalize_whatsapp_identifier` — strip JID/LID/device/plus syntax
|
||||
down to the bare numeric identifier.
|
||||
- :func:`canonical_whatsapp_identifier` — walk the bridge's
|
||||
``lid-mapping-*.json`` files and return a stable canonical identity
|
||||
across phone/LID variants.
|
||||
- :func:`expand_whatsapp_aliases` — return the full alias set for an
|
||||
identifier. Used by authorisation code that needs to match any known
|
||||
form of a sender against an allow-list.
|
||||
|
||||
Plugins that need per-sender behaviour on WhatsApp (role-based routing,
|
||||
per-contact authorisation, policy gating in a gateway hook) should use
|
||||
``canonical_whatsapp_identifier`` so their bookkeeping lines up with
|
||||
Hermes' own session keys.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
from typing import Set
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# WhatsApp JIDs are numeric (or plus-prefixed numeric) with optional
|
||||
# ``@``, ``.`` and ``:`` separators. ``\w`` is pinned to ASCII so
|
||||
# full-width digits / Unicode word chars can't sneak through.
|
||||
_SAFE_IDENTIFIER_RE = re.compile(r"^[A-Za-z0-9@.+\-]+$")
|
||||
|
||||
from hermes_constants import get_hermes_home
|
||||
|
||||
|
||||
def normalize_whatsapp_identifier(value: str) -> str:
|
||||
"""Strip WhatsApp JID/LID syntax down to its stable numeric identifier.
|
||||
|
||||
Accepts any of the identifier shapes the WhatsApp bridge may emit:
|
||||
``"60123456789@s.whatsapp.net"``, ``"60123456789:47@s.whatsapp.net"``,
|
||||
``"60123456789@lid"``, or a bare ``"+601****6789"`` / ``"60123456789"``.
|
||||
Returns just the numeric identifier (``"60123456789"``) suitable for
|
||||
equality comparisons.
|
||||
|
||||
Useful for plugins that want to match sender IDs against
|
||||
user-supplied config (phone numbers in ``config.yaml``) without
|
||||
worrying about which variant the bridge happens to deliver.
|
||||
"""
|
||||
return (
|
||||
str(value or "")
|
||||
.strip()
|
||||
.replace("+", "", 1)
|
||||
.split(":", 1)[0]
|
||||
.split("@", 1)[0]
|
||||
)
|
||||
|
||||
|
||||
def expand_whatsapp_aliases(identifier: str) -> Set[str]:
|
||||
"""Resolve WhatsApp phone/LID aliases via bridge session mapping files.
|
||||
|
||||
Returns the set of all identifiers transitively reachable through the
|
||||
bridge's ``$HERMES_HOME/whatsapp/session/lid-mapping-*.json`` files,
|
||||
starting from ``identifier``. The result always includes the
|
||||
normalized input itself, so callers can safely ``in`` check against
|
||||
the return value without a separate fallback branch.
|
||||
|
||||
Returns an empty set if ``identifier`` normalizes to empty.
|
||||
"""
|
||||
normalized = normalize_whatsapp_identifier(identifier)
|
||||
if not normalized:
|
||||
return set()
|
||||
|
||||
session_dir = get_hermes_home() / "whatsapp" / "session"
|
||||
resolved: Set[str] = set()
|
||||
queue = [normalized]
|
||||
|
||||
while queue:
|
||||
current = queue.pop(0)
|
||||
if not current or current in resolved:
|
||||
continue
|
||||
# Defense-in-depth: reject identifiers that could sneak path
|
||||
# separators / traversal segments into the ``lid-mapping-{current}``
|
||||
# filename below. The hardcoded ``lid-mapping-`` prefix already
|
||||
# prevents escape via pathlib's component split (an attacker can't
|
||||
# create ``lid-mapping-..`` as a real directory in session_dir), but
|
||||
# this keeps the identifier space to the characters WhatsApp JIDs
|
||||
# actually use and avoids depending on that filesystem-layout
|
||||
# invariant.
|
||||
if not _SAFE_IDENTIFIER_RE.match(current):
|
||||
continue
|
||||
|
||||
resolved.add(current)
|
||||
for suffix in ("", "_reverse"):
|
||||
mapping_path = session_dir / f"lid-mapping-{current}{suffix}.json"
|
||||
if not mapping_path.exists():
|
||||
continue
|
||||
try:
|
||||
mapped = normalize_whatsapp_identifier(
|
||||
json.loads(mapping_path.read_text(encoding="utf-8"))
|
||||
)
|
||||
except (OSError, json.JSONDecodeError) as exc:
|
||||
logger.debug("whatsapp_identity: failed to read %s: %s", mapping_path, exc)
|
||||
continue
|
||||
if mapped and mapped not in resolved:
|
||||
queue.append(mapped)
|
||||
|
||||
return resolved
|
||||
|
||||
|
||||
def canonical_whatsapp_identifier(identifier: str) -> str:
|
||||
"""Return a stable WhatsApp sender identity across phone-JID/LID variants.
|
||||
|
||||
WhatsApp may surface the same person under either a phone-format JID
|
||||
(``60123456789@s.whatsapp.net``) or a LID (``1234567890@lid``). This
|
||||
applies to a DM ``chat_id`` *and* to the ``participant_id`` of a
|
||||
member inside a group chat — both represent a user identity, and the
|
||||
bridge may flip between the two for the same human.
|
||||
|
||||
This helper reads the bridge's ``whatsapp/session/lid-mapping-*.json``
|
||||
files, walks the mapping transitively, and picks the shortest
|
||||
(numeric-preferred) alias as the canonical identity.
|
||||
:func:`gateway.session.build_session_key` uses this for both WhatsApp
|
||||
DM chat_ids and WhatsApp group participant_ids, so callers get the
|
||||
same session-key identity Hermes itself uses.
|
||||
|
||||
Plugins that need per-sender behaviour (role-based routing,
|
||||
authorisation, per-contact policy) should use this so their
|
||||
bookkeeping lines up with Hermes' session bookkeeping even when
|
||||
the bridge reshuffles aliases.
|
||||
|
||||
Returns an empty string if ``identifier`` normalizes to empty. If no
|
||||
mapping files exist yet (fresh bridge install), returns the
|
||||
normalized input unchanged.
|
||||
"""
|
||||
normalized = normalize_whatsapp_identifier(identifier)
|
||||
if not normalized:
|
||||
return ""
|
||||
|
||||
# expand_whatsapp_aliases always includes `normalized` itself in the
|
||||
# returned set, so the min() below degrades gracefully to `normalized`
|
||||
# when no lid-mapping files are present.
|
||||
aliases = expand_whatsapp_aliases(normalized)
|
||||
return min(aliases, key=lambda candidate: (len(candidate), candidate))
|
||||
+8
-87
@@ -43,7 +43,6 @@ import yaml
|
||||
|
||||
from hermes_cli.config import get_hermes_home, get_config_path, read_raw_config
|
||||
from hermes_constants import OPENROUTER_BASE_URL
|
||||
from utils import atomic_replace
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -110,12 +109,6 @@ SERVICE_PROVIDER_NAMES: Dict[str, str] = {
|
||||
DEFAULT_GEMINI_CLOUDCODE_BASE_URL = "cloudcode-pa://google"
|
||||
GEMINI_OAUTH_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 60 # refresh 60s before expiry
|
||||
|
||||
# LM Studio's default no-auth mode still requires *some* non-empty bearer for
|
||||
# the API-key code paths (auxiliary_client, runtime resolver) to treat the
|
||||
# provider as configured. This sentinel is sent only to LM Studio, never to
|
||||
# any remote service.
|
||||
LMSTUDIO_NOAUTH_PLACEHOLDER = "dummy-lm-api-key"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Provider Registry
|
||||
@@ -166,14 +159,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
|
||||
auth_type="oauth_external",
|
||||
inference_base_url=DEFAULT_GEMINI_CLOUDCODE_BASE_URL,
|
||||
),
|
||||
"lmstudio": ProviderConfig(
|
||||
id="lmstudio",
|
||||
name="LM Studio",
|
||||
auth_type="api_key",
|
||||
inference_base_url="http://127.0.0.1:1234/v1",
|
||||
api_key_env_vars=("LM_API_KEY",),
|
||||
base_url_env_var="LM_BASE_URL",
|
||||
),
|
||||
"copilot": ProviderConfig(
|
||||
id="copilot",
|
||||
name="GitHub Copilot",
|
||||
@@ -239,14 +224,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
|
||||
api_key_env_vars=("ARCEEAI_API_KEY",),
|
||||
base_url_env_var="ARCEE_BASE_URL",
|
||||
),
|
||||
"gmi": ProviderConfig(
|
||||
id="gmi",
|
||||
name="GMI Cloud",
|
||||
auth_type="api_key",
|
||||
inference_base_url="https://api.gmi-serving.com/v1",
|
||||
api_key_env_vars=("GMI_API_KEY",),
|
||||
base_url_env_var="GMI_BASE_URL",
|
||||
),
|
||||
"minimax": ProviderConfig(
|
||||
id="minimax",
|
||||
name="MiniMax",
|
||||
@@ -363,14 +340,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
|
||||
api_key_env_vars=("XIAOMI_API_KEY",),
|
||||
base_url_env_var="XIAOMI_BASE_URL",
|
||||
),
|
||||
"tencent-tokenhub": ProviderConfig(
|
||||
id="tencent-tokenhub",
|
||||
name="Tencent TokenHub",
|
||||
auth_type="api_key",
|
||||
inference_base_url="https://tokenhub.tencentmaas.com/v1",
|
||||
api_key_env_vars=("TOKENHUB_API_KEY",),
|
||||
base_url_env_var="TOKENHUB_BASE_URL",
|
||||
),
|
||||
"ollama-cloud": ProviderConfig(
|
||||
id="ollama-cloud",
|
||||
name="Ollama Cloud",
|
||||
@@ -387,14 +356,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
|
||||
api_key_env_vars=(),
|
||||
base_url_env_var="BEDROCK_BASE_URL",
|
||||
),
|
||||
"azure-foundry": ProviderConfig(
|
||||
id="azure-foundry",
|
||||
name="Azure Foundry",
|
||||
auth_type="api_key",
|
||||
inference_base_url="", # User-provided endpoint
|
||||
api_key_env_vars=("AZURE_FOUNDRY_API_KEY",),
|
||||
base_url_env_var="AZURE_FOUNDRY_BASE_URL",
|
||||
),
|
||||
}
|
||||
|
||||
|
||||
@@ -498,27 +459,11 @@ def _resolve_api_key_provider_secret(
|
||||
pass
|
||||
return "", ""
|
||||
|
||||
from hermes_cli.config import get_env_value
|
||||
for env_var in pconfig.api_key_env_vars:
|
||||
# Check both os.environ and ~/.hermes/.env file
|
||||
val = (get_env_value(env_var) or "").strip()
|
||||
val = os.getenv(env_var, "").strip()
|
||||
if has_usable_secret(val):
|
||||
return val, env_var
|
||||
|
||||
# Fallback: try credential pool (e.g. zai key stored via auth.json)
|
||||
try:
|
||||
from agent.credential_pool import load_pool
|
||||
pool = load_pool(provider_id)
|
||||
if pool and pool.has_credentials():
|
||||
entry = pool.peek()
|
||||
if entry:
|
||||
key = getattr(entry, "access_token", "") or getattr(entry, "runtime_api_key", "")
|
||||
key = str(key).strip()
|
||||
if has_usable_secret(key):
|
||||
return key, f"credential_pool:{provider_id}"
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return "", ""
|
||||
|
||||
|
||||
@@ -798,18 +743,7 @@ def _load_auth_store(auth_file: Optional[Path] = None) -> Dict[str, Any]:
|
||||
|
||||
try:
|
||||
raw = json.loads(auth_file.read_text())
|
||||
except Exception as exc:
|
||||
corrupt_path = auth_file.with_suffix(".json.corrupt")
|
||||
try:
|
||||
import shutil
|
||||
shutil.copy2(auth_file, corrupt_path)
|
||||
except Exception:
|
||||
pass
|
||||
logger.warning(
|
||||
"auth: failed to parse %s (%s) — starting with empty store. "
|
||||
"Corrupt file preserved at %s",
|
||||
auth_file, exc, corrupt_path,
|
||||
)
|
||||
except Exception:
|
||||
return {"version": AUTH_STORE_VERSION, "providers": {}}
|
||||
|
||||
if isinstance(raw, dict) and (
|
||||
@@ -843,7 +777,7 @@ def _save_auth_store(auth_store: Dict[str, Any]) -> Path:
|
||||
handle.write(payload)
|
||||
handle.flush()
|
||||
os.fsync(handle.fileno())
|
||||
atomic_replace(tmp_path, auth_file)
|
||||
os.replace(tmp_path, auth_file)
|
||||
try:
|
||||
dir_fd = os.open(str(auth_file.parent), os.O_RDONLY)
|
||||
except OSError:
|
||||
@@ -1151,7 +1085,6 @@ def resolve_provider(
|
||||
"kimi-cn": "kimi-coding-cn", "moonshot-cn": "kimi-coding-cn",
|
||||
"step": "stepfun", "stepfun-coding-plan": "stepfun",
|
||||
"arcee-ai": "arcee", "arceeai": "arcee",
|
||||
"gmi-cloud": "gmi", "gmicloud": "gmi",
|
||||
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
|
||||
"alibaba_coding": "alibaba-coding-plan", "alibaba-coding": "alibaba-coding-plan",
|
||||
"alibaba_coding_plan": "alibaba-coding-plan",
|
||||
@@ -1164,13 +1097,11 @@ def resolve_provider(
|
||||
"qwen-portal": "qwen-oauth", "qwen-cli": "qwen-oauth", "qwen-oauth": "qwen-oauth", "google-gemini-cli": "google-gemini-cli", "gemini-cli": "google-gemini-cli", "gemini-oauth": "google-gemini-cli",
|
||||
"hf": "huggingface", "hugging-face": "huggingface", "huggingface-hub": "huggingface",
|
||||
"mimo": "xiaomi", "xiaomi-mimo": "xiaomi",
|
||||
"tencent": "tencent-tokenhub", "tokenhub": "tencent-tokenhub",
|
||||
"tencent-cloud": "tencent-tokenhub", "tencentmaas": "tencent-tokenhub",
|
||||
"aws": "bedrock", "aws-bedrock": "bedrock", "amazon-bedrock": "bedrock", "amazon": "bedrock",
|
||||
"go": "opencode-go", "opencode-go-sub": "opencode-go",
|
||||
"kilo": "kilocode", "kilo-code": "kilocode", "kilo-gateway": "kilocode",
|
||||
"lmstudio": "lmstudio", "lm-studio": "lmstudio", "lm_studio": "lmstudio",
|
||||
# Local server aliases — route through the generic custom provider
|
||||
"lmstudio": "custom", "lm-studio": "custom", "lm_studio": "custom",
|
||||
"ollama": "custom", "ollama_cloud": "ollama-cloud",
|
||||
"vllm": "custom", "llamacpp": "custom",
|
||||
"llama.cpp": "custom", "llama-cpp": "custom",
|
||||
@@ -1217,11 +1148,8 @@ def resolve_provider(
|
||||
continue
|
||||
# GitHub tokens are commonly present for repo/tool access but should not
|
||||
# hijack inference auto-selection unless the user explicitly chooses
|
||||
# Copilot/GitHub Models as the provider. LM Studio is a local server
|
||||
# whose availability isn't implied by LM_API_KEY presence (it may be
|
||||
# offline, and the no-auth setup uses a placeholder value), so it
|
||||
# also requires explicit selection.
|
||||
if pid in ("copilot", "lmstudio"):
|
||||
# Copilot/GitHub Models as the provider.
|
||||
if pid == "copilot":
|
||||
continue
|
||||
for env_var in pconfig.api_key_env_vars:
|
||||
if has_usable_secret(os.getenv(env_var, "")):
|
||||
@@ -3499,13 +3427,6 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
|
||||
key_source = ""
|
||||
api_key, key_source = _resolve_api_key_provider_secret(provider_id, pconfig)
|
||||
|
||||
# No-auth LM Studio: substitute a placeholder so runtime / auxiliary_client
|
||||
# see the local server as configured. doctor still reports unconfigured
|
||||
# because get_api_key_provider_status uses the raw secret resolver.
|
||||
if not api_key and provider_id == "lmstudio":
|
||||
api_key = LMSTUDIO_NOAUTH_PLACEHOLDER
|
||||
key_source = key_source or "default"
|
||||
|
||||
env_url = ""
|
||||
if pconfig.base_url_env_var:
|
||||
env_url = os.getenv(pconfig.base_url_env_var, "").strip()
|
||||
@@ -4304,10 +4225,10 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
|
||||
)
|
||||
|
||||
from hermes_cli.models import (
|
||||
get_curated_nous_model_ids, get_pricing_for_provider,
|
||||
_PROVIDER_MODELS, get_pricing_for_provider,
|
||||
check_nous_free_tier, partition_nous_models_by_tier,
|
||||
)
|
||||
model_ids = get_curated_nous_model_ids()
|
||||
model_ids = _PROVIDER_MODELS.get("nous", [])
|
||||
|
||||
print()
|
||||
unavailable_models: list = []
|
||||
|
||||
@@ -1,300 +0,0 @@
|
||||
"""Azure Foundry endpoint auto-detection.
|
||||
|
||||
Inspect an Azure AI Foundry / Azure OpenAI endpoint to determine:
|
||||
- API transport (OpenAI-style ``chat_completions`` vs
|
||||
Anthropic-style ``anthropic_messages``)
|
||||
- Available models (best effort — Azure does not expose a deployment
|
||||
listing via the inference API key, but Azure OpenAI v1 endpoints
|
||||
return the resource's model catalog via ``GET /models``)
|
||||
- Context length for each discovered/entered model, via the existing
|
||||
:func:`agent.model_metadata.get_model_context_length` resolver.
|
||||
|
||||
Rationale:
|
||||
|
||||
Azure has no pure-API-key deployment-listing endpoint — per Microsoft,
|
||||
deployment enumeration requires ARM management-plane auth. Azure
|
||||
OpenAI v1 endpoints ``{resource}.openai.azure.com/openai/v1`` do return
|
||||
a ``/models`` list, but it reflects the resource's *available* models
|
||||
rather than the user's *deployed* deployment names. In practice it is
|
||||
still a useful hint — the user picks a familiar model name and we look
|
||||
up its context length from the catalog.
|
||||
|
||||
The detector never crashes on errors (every HTTP call is wrapped in a
|
||||
broad try/except). Callers get a :class:`DetectionResult` with whatever
|
||||
information could be gathered, and fall back to manual entry for the
|
||||
rest.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Optional
|
||||
from urllib import request as urllib_request
|
||||
from urllib.error import HTTPError, URLError
|
||||
from urllib.parse import urlparse
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# Default Azure OpenAI ``api-version`` to probe with. The v1 GA endpoint
|
||||
# accepts requests without ``api-version`` entirely, so this is only used
|
||||
# as a fallback for pre-v1 resources that still require it.
|
||||
_AZURE_OPENAI_PROBE_API_VERSIONS = (
|
||||
"2025-04-01-preview",
|
||||
"2024-10-21", # oldest GA that supports /models
|
||||
)
|
||||
|
||||
# Default Azure Anthropic ``api-version``. Matches the value used by
|
||||
# ``agent/anthropic_adapter.py`` when building the Anthropic client.
|
||||
_AZURE_ANTHROPIC_API_VERSION = "2025-04-15"
|
||||
|
||||
|
||||
@dataclass
|
||||
class DetectionResult:
|
||||
"""Everything auto-detection could gather from a base URL + API key."""
|
||||
|
||||
#: Detected API transport: ``"chat_completions"``,
|
||||
#: ``"anthropic_messages"``, or ``None`` when detection failed.
|
||||
api_mode: Optional[str] = None
|
||||
|
||||
#: Deployment / model IDs returned by ``/models`` (best effort).
|
||||
#: Empty when the endpoint doesn't expose the list with an API key.
|
||||
models: list[str] = field(default_factory=list)
|
||||
|
||||
#: Lowercased host from the base URL (used for display messages).
|
||||
hostname: str = ""
|
||||
|
||||
#: Human-readable reason the detector chose ``api_mode``. Useful
|
||||
#: for explaining auto-detection to the user in the wizard.
|
||||
reason: str = ""
|
||||
|
||||
#: ``True`` when ``/models`` returned a valid OpenAI-shaped payload.
|
||||
models_probe_ok: bool = False
|
||||
|
||||
#: ``True`` when the URL was determined to be an Anthropic-style
|
||||
#: endpoint (from path suffix or live probe).
|
||||
is_anthropic: bool = False
|
||||
|
||||
|
||||
def _http_get_json(url: str, api_key: str, timeout: float = 6.0) -> tuple[int, Optional[dict]]:
|
||||
"""GET a URL with ``api-key`` + ``Authorization`` headers. Return
|
||||
``(status_code, parsed_json_or_None)``. Never raises."""
|
||||
req = urllib_request.Request(url, method="GET")
|
||||
# Azure OpenAI uses ``api-key``. Some Azure deployments (and
|
||||
# Anthropic-style routes) use ``Authorization: Bearer``. Send both
|
||||
# so we probe once per URL rather than twice.
|
||||
req.add_header("api-key", api_key)
|
||||
req.add_header("Authorization", f"Bearer {api_key}")
|
||||
req.add_header("User-Agent", "hermes-agent/azure-detect")
|
||||
try:
|
||||
with urllib_request.urlopen(req, timeout=timeout) as resp:
|
||||
body = resp.read()
|
||||
try:
|
||||
return resp.status, json.loads(body.decode("utf-8", errors="replace"))
|
||||
except Exception:
|
||||
return resp.status, None
|
||||
except HTTPError as exc:
|
||||
return exc.code, None
|
||||
except (URLError, TimeoutError, OSError) as exc:
|
||||
logger.debug("azure_detect: GET %s failed: %s", url, exc)
|
||||
return 0, None
|
||||
except Exception as exc: # pragma: no cover — defensive
|
||||
logger.debug("azure_detect: GET %s unexpected error: %s", url, exc)
|
||||
return 0, None
|
||||
|
||||
|
||||
def _strip_trailing_v1(url: str) -> str:
|
||||
"""Strip trailing ``/v1`` or ``/v1/`` so we can construct sub-paths."""
|
||||
return re.sub(r"/v1/?$", "", url.rstrip("/"))
|
||||
|
||||
|
||||
def _looks_like_anthropic_path(url: str) -> bool:
|
||||
"""Return True when the URL's path ends in ``/anthropic`` or
|
||||
contains a ``/anthropic/`` segment. Used by Azure Foundry
|
||||
resources that route Claude traffic through a dedicated path."""
|
||||
try:
|
||||
parsed = urlparse(url)
|
||||
path = (parsed.path or "").lower().rstrip("/")
|
||||
return path.endswith("/anthropic") or "/anthropic/" in path + "/"
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
def _extract_model_ids(payload: dict) -> list[str]:
|
||||
"""Extract a list of model IDs from an OpenAI-shaped ``/models``
|
||||
response. Returns ``[]`` on any shape mismatch."""
|
||||
data = payload.get("data") if isinstance(payload, dict) else None
|
||||
if not isinstance(data, list):
|
||||
return []
|
||||
ids: list[str] = []
|
||||
for item in data:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
# OpenAI shape: {"id": "gpt-5.4", "object": "model", ...}
|
||||
mid = item.get("id") or item.get("model") or item.get("name")
|
||||
if isinstance(mid, str) and mid:
|
||||
ids.append(mid)
|
||||
return ids
|
||||
|
||||
|
||||
def _probe_openai_models(base_url: str, api_key: str) -> tuple[bool, list[str]]:
|
||||
"""Probe ``<base>/models`` for an OpenAI-shaped response.
|
||||
|
||||
Returns ``(ok, models)``. ``ok`` is True iff the endpoint accepted
|
||||
us as an OpenAI-style caller (200 OK + OpenAI-shaped JSON body).
|
||||
"""
|
||||
base_url = base_url.rstrip("/")
|
||||
|
||||
# Azure OpenAI v1: {resource}.openai.azure.com/openai/v1 — no
|
||||
# api-version required for GA paths, so probe without first.
|
||||
candidates = [f"{base_url}/models"]
|
||||
# Fallback: explicit api-version for pre-v1 resources
|
||||
for v in _AZURE_OPENAI_PROBE_API_VERSIONS:
|
||||
candidates.append(f"{base_url}/models?api-version={v}")
|
||||
|
||||
for url in candidates:
|
||||
status, body = _http_get_json(url, api_key)
|
||||
if status == 200 and body is not None:
|
||||
ids = _extract_model_ids(body)
|
||||
if ids:
|
||||
logger.info(
|
||||
"azure_detect: /models probe OK at %s (%d models)",
|
||||
url, len(ids),
|
||||
)
|
||||
return True, ids
|
||||
# 200 + empty list still counts as "OpenAI shape, no models
|
||||
# listed" — let the user proceed with manual entry.
|
||||
if isinstance(body, dict) and "data" in body:
|
||||
return True, []
|
||||
return False, []
|
||||
|
||||
|
||||
def _probe_anthropic_messages(base_url: str, api_key: str) -> bool:
|
||||
"""Send a zero-token request to ``<base>/v1/messages`` and check
|
||||
whether the endpoint at least *recognises* the Anthropic Messages
|
||||
shape (any 4xx that mentions ``messages`` or ``model``, or a 400
|
||||
``invalid_request`` with an Anthropic error shape). Never completes
|
||||
a real chat.
|
||||
"""
|
||||
base = _strip_trailing_v1(base_url)
|
||||
url = f"{base}/v1/messages?api-version={_AZURE_ANTHROPIC_API_VERSION}"
|
||||
payload = json.dumps({
|
||||
"model": "probe",
|
||||
"max_tokens": 1,
|
||||
"messages": [{"role": "user", "content": "ping"}],
|
||||
}).encode("utf-8")
|
||||
req = urllib_request.Request(url, method="POST", data=payload)
|
||||
req.add_header("api-key", api_key)
|
||||
req.add_header("Authorization", f"Bearer {api_key}")
|
||||
req.add_header("anthropic-version", "2023-06-01")
|
||||
req.add_header("content-type", "application/json")
|
||||
req.add_header("User-Agent", "hermes-agent/azure-detect")
|
||||
try:
|
||||
with urllib_request.urlopen(req, timeout=6.0) as resp:
|
||||
# Should never 200 — "probe" isn't a real deployment. But
|
||||
# if it does, the endpoint definitely speaks Anthropic.
|
||||
return resp.status < 500
|
||||
except HTTPError as exc:
|
||||
# 4xx with an Anthropic-shaped error body = Anthropic endpoint.
|
||||
try:
|
||||
body = exc.read().decode("utf-8", errors="replace")
|
||||
lowered = body.lower()
|
||||
if "anthropic" in lowered or '"type"' in lowered and '"error"' in lowered:
|
||||
return True
|
||||
# Pre-Azure-v1 Azure Foundry returns a plain 404 for
|
||||
# Anthropic-style calls on non-Anthropic deployments. A
|
||||
# 400 "model not found" IS Anthropic though.
|
||||
if exc.code == 400 and ("messages" in lowered or "model" in lowered):
|
||||
return True
|
||||
return False
|
||||
except Exception:
|
||||
return False
|
||||
except (URLError, TimeoutError, OSError):
|
||||
return False
|
||||
except Exception: # pragma: no cover
|
||||
return False
|
||||
|
||||
|
||||
def detect(base_url: str, api_key: str) -> DetectionResult:
|
||||
"""Inspect an Azure endpoint and describe its transport + models.
|
||||
|
||||
Call this from the wizard before asking the user to pick an API
|
||||
mode manually. The caller should treat the returned
|
||||
:class:`DetectionResult` as *advisory* — if ``api_mode`` is None,
|
||||
fall back to asking the user.
|
||||
"""
|
||||
result = DetectionResult()
|
||||
|
||||
try:
|
||||
parsed = urlparse(base_url)
|
||||
result.hostname = (parsed.hostname or "").lower()
|
||||
except Exception:
|
||||
result.hostname = ""
|
||||
|
||||
# 1. Path sniff. Azure Foundry exposes Anthropic-style deployments
|
||||
# under a dedicated ``/anthropic`` path.
|
||||
if _looks_like_anthropic_path(base_url):
|
||||
result.is_anthropic = True
|
||||
result.api_mode = "anthropic_messages"
|
||||
result.reason = "URL path ends in /anthropic → Anthropic Messages API"
|
||||
return result
|
||||
|
||||
# 2. Try the OpenAI-style /models probe. If this works, the
|
||||
# endpoint definitely speaks OpenAI wire.
|
||||
ok, models = _probe_openai_models(base_url, api_key)
|
||||
if ok:
|
||||
result.models_probe_ok = True
|
||||
result.models = models
|
||||
result.api_mode = "chat_completions"
|
||||
result.reason = (
|
||||
f"GET /models returned {len(models)} model(s) — OpenAI-style endpoint"
|
||||
if models
|
||||
else "GET /models returned an OpenAI-shaped empty list — OpenAI-style endpoint"
|
||||
)
|
||||
return result
|
||||
|
||||
# 3. Fallback: probe the Anthropic Messages shape. Slower and more
|
||||
# intrusive than /models, so only run it when the OpenAI probe
|
||||
# failed.
|
||||
if _probe_anthropic_messages(base_url, api_key):
|
||||
result.is_anthropic = True
|
||||
result.api_mode = "anthropic_messages"
|
||||
result.reason = "Endpoint accepts Anthropic Messages shape"
|
||||
return result
|
||||
|
||||
# Nothing matched. Caller falls back to manual selection.
|
||||
result.reason = (
|
||||
"Could not probe endpoint (private network, missing model list, or "
|
||||
"non-standard path) — falling back to manual API-mode selection"
|
||||
)
|
||||
return result
|
||||
|
||||
|
||||
def lookup_context_length(model: str, base_url: str, api_key: str) -> Optional[int]:
|
||||
"""Thin wrapper around :func:`agent.model_metadata.get_model_context_length`
|
||||
that returns ``None`` when only the fallback default (128k) would
|
||||
fire, so the wizard can distinguish "we actually know this" from
|
||||
"we guessed."""
|
||||
try:
|
||||
from agent.model_metadata import (
|
||||
DEFAULT_FALLBACK_CONTEXT,
|
||||
get_model_context_length,
|
||||
)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
try:
|
||||
n = get_model_context_length(model, base_url=base_url, api_key=api_key)
|
||||
except Exception as exc:
|
||||
logger.debug("azure_detect: context length lookup failed: %s", exc)
|
||||
return None
|
||||
|
||||
if isinstance(n, int) and n > 0 and n != DEFAULT_FALLBACK_CONTEXT:
|
||||
return n
|
||||
return None
|
||||
|
||||
|
||||
__all__ = ["DetectionResult", "detect", "lookup_context_length"]
|
||||
+1
-272
@@ -36,23 +36,12 @@ _EXCLUDED_DIRS = {
|
||||
"__pycache__", # bytecode caches — regenerated on import
|
||||
".git", # nested git dirs (profiles shouldn't have these, but safety)
|
||||
"node_modules", # js deps if website/ somehow leaks in
|
||||
"backups", # prior auto-backups — don't nest backups exponentially
|
||||
"checkpoints", # session-local trajectory caches — regenerated per-session,
|
||||
# session-hash-keyed so they don't port to another machine anyway
|
||||
}
|
||||
|
||||
# File-name suffixes to skip
|
||||
_EXCLUDED_SUFFIXES = (
|
||||
".pyc",
|
||||
".pyo",
|
||||
# SQLite sidecar files — the backup takes a consistent snapshot of ``*.db``
|
||||
# via ``sqlite3.backup()``, so shipping the live WAL / shared-memory /
|
||||
# rollback-journal alongside would pair a fresh snapshot with stale sidecar
|
||||
# state and produce a torn restore on the next open. They're transient and
|
||||
# regenerated on first connection anyway.
|
||||
".db-wal",
|
||||
".db-shm",
|
||||
".db-journal",
|
||||
)
|
||||
|
||||
# File names to skip (runtime state that's meaningless on another machine)
|
||||
@@ -465,12 +454,6 @@ def run_import(args) -> None:
|
||||
# Critical state files to include in quick snapshots (relative to HERMES_HOME).
|
||||
# Everything else is either regeneratable (logs, cache) or managed separately
|
||||
# (skills, repo, sessions/).
|
||||
#
|
||||
# Entries may be individual files OR directories. Directories are captured
|
||||
# recursively; missing entries are silently skipped. Pairing data lives in
|
||||
# platform-specific JSON blobs outside state.db, so it's listed here explicitly
|
||||
# — `hermes update` snapshots this set before pulling so approved-user lists
|
||||
# are recoverable if anything goes wrong (issue #15733).
|
||||
_QUICK_STATE_FILES = (
|
||||
"state.db",
|
||||
"config.yaml",
|
||||
@@ -480,10 +463,6 @@ _QUICK_STATE_FILES = (
|
||||
"gateway_state.json",
|
||||
"channel_directory.json",
|
||||
"processes.json",
|
||||
# Pairing stores (generic + per-platform JSONs outside state.db)
|
||||
"pairing", # legacy location (gateway/pairing.py)
|
||||
"platforms/pairing", # new location (gateway/pairing.py)
|
||||
"feishu_comment_pairing.json", # Feishu comment subscription pairings
|
||||
)
|
||||
|
||||
_QUICK_SNAPSHOTS_DIR = "state-snapshots"
|
||||
@@ -519,27 +498,7 @@ def create_quick_snapshot(
|
||||
|
||||
for rel in _QUICK_STATE_FILES:
|
||||
src = home / rel
|
||||
if not src.exists():
|
||||
continue
|
||||
|
||||
if src.is_dir():
|
||||
# Walk the directory and record each file individually in the
|
||||
# manifest so restore can treat them uniformly. Empty dirs are
|
||||
# skipped (nothing to snapshot).
|
||||
for sub in src.rglob("*"):
|
||||
if not sub.is_file():
|
||||
continue
|
||||
sub_rel = sub.relative_to(home).as_posix()
|
||||
dst = snap_dir / sub_rel
|
||||
dst.parent.mkdir(parents=True, exist_ok=True)
|
||||
try:
|
||||
shutil.copy2(sub, dst)
|
||||
manifest[sub_rel] = dst.stat().st_size
|
||||
except (OSError, PermissionError) as exc:
|
||||
logger.warning("Could not snapshot %s: %s", sub_rel, exc)
|
||||
continue
|
||||
|
||||
if not src.is_file():
|
||||
if not src.exists() or not src.is_file():
|
||||
continue
|
||||
|
||||
dst = snap_dir / rel
|
||||
@@ -694,233 +653,3 @@ def run_quick_backup(args) -> None:
|
||||
print(f" Restore with: /snapshot restore {snap_id}")
|
||||
else:
|
||||
print("No state files found to snapshot.")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Shared full-zip backup helper
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def _write_full_zip_backup(out_path: Path, hermes_root: Path) -> Optional[Path]:
|
||||
"""Write a full zip snapshot of ``hermes_root`` to ``out_path``.
|
||||
|
||||
Uses the same exclusion rules and SQLite safe-copy as :func:`run_backup`.
|
||||
Returns the output path on success, None on failure (nothing to back up,
|
||||
or write error — caller should surface the outcome but not raise).
|
||||
"""
|
||||
files_to_add: list[tuple[Path, Path]] = []
|
||||
try:
|
||||
for dirpath, dirnames, filenames in os.walk(hermes_root, followlinks=False):
|
||||
dp = Path(dirpath)
|
||||
# Prune excluded directories in-place so os.walk doesn't descend
|
||||
dirnames[:] = [d for d in dirnames if d not in _EXCLUDED_DIRS]
|
||||
|
||||
for fname in filenames:
|
||||
fpath = dp / fname
|
||||
try:
|
||||
rel = fpath.relative_to(hermes_root)
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
if _should_exclude(rel):
|
||||
continue
|
||||
|
||||
# Skip the output zip itself if it already exists inside root.
|
||||
try:
|
||||
if fpath.resolve() == out_path.resolve():
|
||||
continue
|
||||
except (OSError, ValueError):
|
||||
pass
|
||||
|
||||
files_to_add.append((fpath, rel))
|
||||
except OSError as exc:
|
||||
logger.warning("Full-zip backup: walk failed: %s", exc)
|
||||
return None
|
||||
|
||||
if not files_to_add:
|
||||
return None
|
||||
|
||||
try:
|
||||
with zipfile.ZipFile(out_path, "w", zipfile.ZIP_DEFLATED, compresslevel=6) as zf:
|
||||
for abs_path, rel_path in files_to_add:
|
||||
try:
|
||||
if abs_path.suffix == ".db":
|
||||
with tempfile.NamedTemporaryFile(suffix=".db", delete=False) as tmp:
|
||||
tmp_db = Path(tmp.name)
|
||||
try:
|
||||
if _safe_copy_db(abs_path, tmp_db):
|
||||
zf.write(tmp_db, arcname=str(rel_path))
|
||||
finally:
|
||||
tmp_db.unlink(missing_ok=True)
|
||||
else:
|
||||
zf.write(abs_path, arcname=str(rel_path))
|
||||
except (PermissionError, OSError, ValueError) as exc:
|
||||
logger.debug("Skipping %s in zip backup: %s", rel_path, exc)
|
||||
continue
|
||||
except OSError as exc:
|
||||
logger.warning("Full-zip backup: zip write failed: %s", exc)
|
||||
# Best-effort cleanup of partial file
|
||||
try:
|
||||
out_path.unlink(missing_ok=True)
|
||||
except OSError:
|
||||
pass
|
||||
return None
|
||||
|
||||
return out_path
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pre-update auto-backup
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_PRE_UPDATE_BACKUPS_DIR = "backups"
|
||||
_PRE_UPDATE_PREFIX = "pre-update-"
|
||||
_PRE_UPDATE_DEFAULT_KEEP = 5
|
||||
|
||||
|
||||
def _pre_update_backup_dir(hermes_home: Optional[Path] = None) -> Path:
|
||||
home = hermes_home or get_hermes_home()
|
||||
return home / _PRE_UPDATE_BACKUPS_DIR
|
||||
|
||||
|
||||
def _prune_pre_update_backups(backup_dir: Path, keep: int) -> int:
|
||||
"""Remove oldest pre-update backups beyond the keep limit.
|
||||
|
||||
Returns the number of files deleted. Only touches files matching
|
||||
``pre-update-*.zip`` so hand-made zips dropped in the same directory
|
||||
are never touched.
|
||||
"""
|
||||
if keep < 0:
|
||||
keep = 0
|
||||
if not backup_dir.exists():
|
||||
return 0
|
||||
|
||||
backups = sorted(
|
||||
(p for p in backup_dir.iterdir()
|
||||
if p.is_file() and p.name.startswith(_PRE_UPDATE_PREFIX) and p.suffix.lower() == ".zip"),
|
||||
key=lambda p: p.name,
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
deleted = 0
|
||||
for p in backups[keep:]:
|
||||
try:
|
||||
p.unlink()
|
||||
deleted += 1
|
||||
except OSError as exc:
|
||||
logger.warning("Failed to prune backup %s: %s", p.name, exc)
|
||||
|
||||
return deleted
|
||||
|
||||
|
||||
def create_pre_update_backup(
|
||||
hermes_home: Optional[Path] = None,
|
||||
keep: int = _PRE_UPDATE_DEFAULT_KEEP,
|
||||
) -> Optional[Path]:
|
||||
"""Create a full zip backup of HERMES_HOME under ``backups/``.
|
||||
|
||||
Mirrors :func:`run_backup` (same exclusion rules, same SQLite safe-copy)
|
||||
but writes to ``<HERMES_HOME>/backups/pre-update-<timestamp>.zip`` and
|
||||
auto-prunes old pre-update backups.
|
||||
|
||||
Returns the path to the created zip, or ``None`` if no files were
|
||||
found or the backup could not be created. Never raises — the caller
|
||||
(``hermes update``) should continue even if the backup fails.
|
||||
"""
|
||||
hermes_root = hermes_home or get_default_hermes_root()
|
||||
if not hermes_root.is_dir():
|
||||
return None
|
||||
|
||||
backup_dir = _pre_update_backup_dir(hermes_root)
|
||||
try:
|
||||
backup_dir.mkdir(parents=True, exist_ok=True)
|
||||
except OSError as exc:
|
||||
logger.warning("Could not create pre-update backup dir %s: %s", backup_dir, exc)
|
||||
return None
|
||||
|
||||
stamp = datetime.now().strftime("%Y-%m-%d-%H%M%S")
|
||||
out_path = backup_dir / f"{_PRE_UPDATE_PREFIX}{stamp}.zip"
|
||||
|
||||
result = _write_full_zip_backup(out_path, hermes_root)
|
||||
if result is None:
|
||||
return None
|
||||
|
||||
_prune_pre_update_backups(backup_dir, keep=keep)
|
||||
return out_path
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pre-migration auto-backup (used by `hermes claw migrate`)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_PRE_MIGRATION_PREFIX = "pre-migration-"
|
||||
_PRE_MIGRATION_DEFAULT_KEEP = 5
|
||||
|
||||
|
||||
def _prune_pre_migration_backups(backup_dir: Path, keep: int) -> int:
|
||||
"""Remove oldest pre-migration backups beyond the keep limit.
|
||||
|
||||
Only touches files matching ``pre-migration-*.zip`` so other backups in
|
||||
the same directory are never touched.
|
||||
"""
|
||||
if keep < 0:
|
||||
keep = 0
|
||||
if not backup_dir.exists():
|
||||
return 0
|
||||
|
||||
backups = sorted(
|
||||
(p for p in backup_dir.iterdir()
|
||||
if p.is_file() and p.name.startswith(_PRE_MIGRATION_PREFIX) and p.suffix.lower() == ".zip"),
|
||||
key=lambda p: p.name,
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
deleted = 0
|
||||
for p in backups[keep:]:
|
||||
try:
|
||||
p.unlink()
|
||||
deleted += 1
|
||||
except OSError as exc:
|
||||
logger.warning("Failed to prune pre-migration backup %s: %s", p.name, exc)
|
||||
|
||||
return deleted
|
||||
|
||||
|
||||
def create_pre_migration_backup(
|
||||
hermes_home: Optional[Path] = None,
|
||||
keep: int = _PRE_MIGRATION_DEFAULT_KEEP,
|
||||
) -> Optional[Path]:
|
||||
"""Create a full zip backup of HERMES_HOME under ``backups/`` before a
|
||||
``hermes claw migrate`` apply.
|
||||
|
||||
Shares implementation with :func:`create_pre_update_backup` via
|
||||
``_write_full_zip_backup`` — same exclusions, same SQLite safe-copy,
|
||||
restorable with ``hermes import <archive>``. Writes to
|
||||
``<HERMES_HOME>/backups/pre-migration-<timestamp>.zip`` and auto-prunes
|
||||
old pre-migration backups.
|
||||
|
||||
Returns the path to the created zip, or ``None`` if nothing was found
|
||||
to back up (fresh install) or the write failed. Never raises — the
|
||||
caller decides whether to abort or proceed.
|
||||
"""
|
||||
hermes_root = hermes_home or get_default_hermes_root()
|
||||
if not hermes_root.is_dir():
|
||||
return None
|
||||
|
||||
# Reuses the shared backups/ directory so `hermes import` and the
|
||||
# update-backup listing pick up pre-migration archives too.
|
||||
backup_dir = _pre_update_backup_dir(hermes_root)
|
||||
try:
|
||||
backup_dir.mkdir(parents=True, exist_ok=True)
|
||||
except OSError as exc:
|
||||
logger.warning("Could not create pre-migration backup dir %s: %s", backup_dir, exc)
|
||||
return None
|
||||
|
||||
stamp = datetime.now().strftime("%Y-%m-%d-%H%M%S")
|
||||
out_path = backup_dir / f"{_PRE_MIGRATION_PREFIX}{stamp}.zip"
|
||||
|
||||
result = _write_full_zip_backup(out_path, hermes_root)
|
||||
if result is None:
|
||||
return None
|
||||
|
||||
_prune_pre_migration_backups(backup_dir, keep=keep)
|
||||
return out_path
|
||||
|
||||
@@ -562,6 +562,7 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
|
||||
right_content = "\n".join(right_lines)
|
||||
layout_table.add_row(left_content, right_content)
|
||||
|
||||
agent_name = _skin_branding("agent_name", "Hermes Agent")
|
||||
title_color = _skin_color("banner_title", "#FFD700")
|
||||
border_color = _skin_color("banner_border", "#CD7F32")
|
||||
version_label = format_banner_version_label()
|
||||
|
||||
+6
-67
@@ -4,8 +4,7 @@ Usage:
|
||||
hermes claw migrate # Preview then migrate (always shows preview first)
|
||||
hermes claw migrate --dry-run # Preview only, no changes
|
||||
hermes claw migrate --yes # Skip confirmation prompt
|
||||
hermes claw migrate --preset full --overwrite --migrate-secrets # Full run w/ secrets
|
||||
hermes claw migrate --no-backup # Skip pre-migration snapshot
|
||||
hermes claw migrate --preset full --overwrite # Full migration, overwrite conflicts
|
||||
hermes claw cleanup # Archive leftover OpenClaw directories
|
||||
hermes claw cleanup --dry-run # Preview what would be archived
|
||||
"""
|
||||
@@ -16,7 +15,6 @@ import subprocess
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from hermes_cli.config import get_hermes_home, get_config_path, load_config, save_config
|
||||
from hermes_constants import get_optional_skills_dir
|
||||
@@ -323,13 +321,10 @@ def _cmd_migrate(args):
|
||||
migrate_secrets = getattr(args, "migrate_secrets", False)
|
||||
workspace_target = getattr(args, "workspace_target", None)
|
||||
skill_conflict = getattr(args, "skill_conflict", "skip")
|
||||
no_backup = getattr(args, "no_backup", False)
|
||||
|
||||
# Secrets are never included implicitly — they must be explicitly requested
|
||||
# via --migrate-secrets, even under --preset full. This mirrors OpenClaw's
|
||||
# migrate-hermes posture (two-phase: run once without secrets, rerun with
|
||||
# --include-secrets) and prevents a --preset full invocation from silently
|
||||
# importing API keys that the user may not have intended to copy.
|
||||
# If using the "full" preset, secrets are included by default
|
||||
if preset == "full":
|
||||
migrate_secrets = True
|
||||
|
||||
print()
|
||||
print(
|
||||
@@ -436,24 +431,15 @@ def _cmd_migrate(args):
|
||||
|
||||
preview_summary = preview_report.get("summary", {})
|
||||
preview_count = preview_summary.get("migrated", 0)
|
||||
preview_conflicts = preview_summary.get("conflict", 0)
|
||||
|
||||
# "Nothing to migrate" means nothing migrated AND nothing blocked by
|
||||
# conflicts. If there are conflicts, we still want to show the plan and
|
||||
# surface the refusal/--overwrite guidance instead of silently bailing.
|
||||
if preview_count == 0 and preview_conflicts == 0:
|
||||
if preview_count == 0:
|
||||
print()
|
||||
print_info("Nothing to migrate from OpenClaw.")
|
||||
_print_migration_report(preview_report, dry_run=True)
|
||||
return
|
||||
|
||||
print()
|
||||
if preview_count > 0:
|
||||
print_header(f"Migration Preview — {preview_count} item(s) would be imported")
|
||||
else:
|
||||
print_header(
|
||||
f"Migration Preview — {preview_conflicts} conflict(s), nothing would be imported"
|
||||
)
|
||||
print_header(f"Migration Preview — {preview_count} item(s) would be imported")
|
||||
print_info("No changes have been made yet. Review the list below:")
|
||||
_print_migration_report(preview_report, dry_run=True)
|
||||
|
||||
@@ -461,24 +447,6 @@ def _cmd_migrate(args):
|
||||
if dry_run:
|
||||
return
|
||||
|
||||
# ── Phase 1b: Refuse if the plan has conflicts and --overwrite is not set ─
|
||||
# Modelled on OpenClaw's assertConflictFreePlan() — apply is a safe no-op
|
||||
# on conflicts unless the user explicitly opts in to overwriting. Without
|
||||
# this guard, the user would answer "yes, proceed" and silently end up
|
||||
# with a migration that skipped every conflicting item.
|
||||
if preview_conflicts > 0 and not overwrite:
|
||||
print()
|
||||
print_error(
|
||||
f"Plan has {preview_conflicts} conflict(s). Refusing to apply."
|
||||
)
|
||||
print_info(
|
||||
"Each conflict is an item whose target already exists in ~/.hermes/. "
|
||||
"Re-run with --overwrite to replace conflicting targets (item-level "
|
||||
"backups are written to the migration report directory)."
|
||||
)
|
||||
print_info("Or re-run with --dry-run to review the full plan.")
|
||||
return
|
||||
|
||||
# ── Phase 2: Confirm and execute ───────────────────────────
|
||||
print()
|
||||
if not auto_yes:
|
||||
@@ -490,32 +458,6 @@ def _cmd_migrate(args):
|
||||
print_info("Migration cancelled.")
|
||||
return
|
||||
|
||||
# ── Phase 2b: Pre-apply backup of the Hermes home ─────────
|
||||
# Delegates to hermes_cli.backup.create_pre_migration_backup(), which
|
||||
# shares implementation with the pre-update backup (same exclusion
|
||||
# rules, same SQLite safe-copy, zip format) so the archive is
|
||||
# restorable with `hermes import`. Mirrors OpenClaw's
|
||||
# createPreMigrationBackup posture — one atomic restore point before
|
||||
# any mutation, auto-pruned to the last 5 pre-migration zips.
|
||||
backup_archive: Optional[Path] = None
|
||||
if not no_backup:
|
||||
try:
|
||||
from hermes_cli.backup import create_pre_migration_backup, _format_size
|
||||
backup_archive = create_pre_migration_backup(hermes_home=hermes_home)
|
||||
if backup_archive:
|
||||
size_str = _format_size(backup_archive.stat().st_size)
|
||||
print()
|
||||
print_success(f"Pre-migration backup: {backup_archive} ({size_str})")
|
||||
print_info(f"Restore with: hermes import {backup_archive.name}")
|
||||
except Exception as e:
|
||||
print()
|
||||
print_error(f"Could not create pre-migration backup: {e}")
|
||||
print_info(
|
||||
"Re-run with --no-backup to skip, or free up disk space under the Hermes home."
|
||||
)
|
||||
logger.debug("Pre-migration backup error", exc_info=True)
|
||||
return
|
||||
|
||||
try:
|
||||
migrator = mod.Migrator(
|
||||
source_root=source_dir.resolve(),
|
||||
@@ -534,9 +476,6 @@ def _cmd_migrate(args):
|
||||
print()
|
||||
print_error(f"Migration failed: {e}")
|
||||
logger.debug("OpenClaw migration error", exc_info=True)
|
||||
if backup_archive:
|
||||
print_info(f"A pre-migration backup is available at: {backup_archive}")
|
||||
print_info(f"Restore with: hermes import {backup_archive.name}")
|
||||
return
|
||||
|
||||
# Print results
|
||||
|
||||
+4
-168
@@ -62,8 +62,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
|
||||
aliases=("reset",)),
|
||||
CommandDef("clear", "Clear screen and start a new session", "Session",
|
||||
cli_only=True),
|
||||
CommandDef("redraw", "Force a full UI repaint (recovers from terminal drift)", "Session",
|
||||
cli_only=True),
|
||||
CommandDef("history", "Show conversation history", "Session",
|
||||
cli_only=True),
|
||||
CommandDef("save", "Save the current conversation", "Session",
|
||||
@@ -86,7 +84,9 @@ COMMAND_REGISTRY: list[CommandDef] = [
|
||||
CommandDef("deny", "Deny a pending dangerous command", "Session",
|
||||
gateway_only=True),
|
||||
CommandDef("background", "Run a prompt in the background", "Session",
|
||||
aliases=("bg", "btw"), args_hint="<prompt>"),
|
||||
aliases=("bg",), args_hint="<prompt>"),
|
||||
CommandDef("btw", "Ephemeral side question using session context (no tools, not persisted)", "Session",
|
||||
args_hint="<question>"),
|
||||
CommandDef("agents", "Show active agents and running tasks", "Session",
|
||||
aliases=("tasks",)),
|
||||
CommandDef("queue", "Queue a prompt for the next turn (doesn't interrupt)", "Session",
|
||||
@@ -103,8 +103,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
|
||||
# Configuration
|
||||
CommandDef("config", "Show current configuration", "Configuration",
|
||||
cli_only=True),
|
||||
CommandDef("model", "Switch model for this session", "Configuration",
|
||||
aliases=("provider",), args_hint="[model] [--provider name] [--global]"),
|
||||
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--provider name] [--global]"),
|
||||
CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info",
|
||||
cli_only=True),
|
||||
|
||||
@@ -115,9 +114,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
|
||||
CommandDef("verbose", "Cycle tool progress display: off -> new -> all -> verbose",
|
||||
"Configuration", cli_only=True,
|
||||
gateway_config_gate="display.tool_progress_command"),
|
||||
CommandDef("footer", "Toggle gateway runtime-metadata footer on final replies",
|
||||
"Configuration", args_hint="[on|off|status]",
|
||||
subcommands=("on", "off", "status")),
|
||||
CommandDef("yolo", "Toggle YOLO mode (skip all dangerous command approvals)",
|
||||
"Configuration"),
|
||||
CommandDef("reasoning", "Manage reasoning effort and display", "Configuration",
|
||||
@@ -130,9 +126,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
|
||||
cli_only=True, args_hint="[name]"),
|
||||
CommandDef("voice", "Toggle voice mode", "Configuration",
|
||||
args_hint="[on|off|tts|status]", subcommands=("on", "off", "tts", "status")),
|
||||
CommandDef("busy", "Control what Enter does while Hermes is working", "Configuration",
|
||||
cli_only=True, args_hint="[queue|steer|interrupt|status]",
|
||||
subcommands=("queue", "steer", "interrupt", "status")),
|
||||
|
||||
# Tools & Skills
|
||||
CommandDef("tools", "Manage tools: /tools [list|disable|enable] [name...]", "Tools & Skills",
|
||||
@@ -811,114 +804,6 @@ def discord_skill_commands_by_category(
|
||||
return trimmed_categories, uncategorized, hidden
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Slack native slash commands
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
# Slack slash command name constraints: lowercase a-z, 0-9, hyphens,
|
||||
# underscores. Max 32 chars. Slack app manifest accepts up to 50 slash
|
||||
# commands per app.
|
||||
_SLACK_MAX_SLASH_COMMANDS = 50
|
||||
_SLACK_NAME_LIMIT = 32
|
||||
_SLACK_INVALID_CHARS = re.compile(r"[^a-z0-9_\-]")
|
||||
|
||||
|
||||
def _sanitize_slack_name(raw: str) -> str:
|
||||
"""Convert a command name to a valid Slack slash command name.
|
||||
|
||||
Slack allows lowercase a-z, digits, hyphens, and underscores. Max 32
|
||||
chars. Uppercase is lowercased; invalid chars are stripped.
|
||||
"""
|
||||
name = raw.lower()
|
||||
name = _SLACK_INVALID_CHARS.sub("", name)
|
||||
name = name.strip("-_")
|
||||
return name[:_SLACK_NAME_LIMIT]
|
||||
|
||||
|
||||
def slack_native_slashes() -> list[tuple[str, str, str]]:
|
||||
"""Return (slash_name, description, usage_hint) triples for Slack.
|
||||
|
||||
Every gateway-available command in ``COMMAND_REGISTRY`` is surfaced as
|
||||
a standalone Slack slash command (e.g. ``/btw``, ``/stop``, ``/model``),
|
||||
matching Discord's and Telegram's model where every command is a
|
||||
first-class slash and not a ``/hermes <verb>`` subcommand.
|
||||
|
||||
Both canonical names and aliases are included so users can type any
|
||||
documented form (e.g. ``/background``, ``/bg``, and ``/btw`` all work).
|
||||
Plugin-registered slash commands are included too.
|
||||
|
||||
Results are clamped to Slack's 50-command limit with duplicate-name
|
||||
avoidance. ``/hermes`` is always reserved as the first entry so the
|
||||
legacy ``/hermes <subcommand>`` form keeps working for anything that
|
||||
gets dropped by the clamp or for free-form questions.
|
||||
"""
|
||||
overrides = _resolve_config_gates()
|
||||
entries: list[tuple[str, str, str]] = []
|
||||
seen: set[str] = set()
|
||||
|
||||
# Reserve /hermes as the catch-all top-level command.
|
||||
entries.append(("hermes", "Talk to Hermes or run a subcommand", "[subcommand] [args]"))
|
||||
seen.add("hermes")
|
||||
|
||||
def _add(name: str, desc: str, hint: str) -> None:
|
||||
slack_name = _sanitize_slack_name(name)
|
||||
if not slack_name or slack_name in seen:
|
||||
return
|
||||
if len(entries) >= _SLACK_MAX_SLASH_COMMANDS:
|
||||
return
|
||||
# Slack description cap is 2000 chars; keep it short.
|
||||
entries.append((slack_name, desc[:140], hint[:100]))
|
||||
seen.add(slack_name)
|
||||
|
||||
# First pass: canonical names (so they win slots if we hit the cap).
|
||||
for cmd in COMMAND_REGISTRY:
|
||||
if not _is_gateway_available(cmd, overrides):
|
||||
continue
|
||||
_add(cmd.name, cmd.description, cmd.args_hint or "")
|
||||
|
||||
# Second pass: aliases.
|
||||
for cmd in COMMAND_REGISTRY:
|
||||
if not _is_gateway_available(cmd, overrides):
|
||||
continue
|
||||
for alias in cmd.aliases:
|
||||
# Skip aliases that only differ from canonical by case/punctuation
|
||||
# normalization (already covered by _add dedup).
|
||||
_add(alias, f"Alias for /{cmd.name} — {cmd.description}", cmd.args_hint or "")
|
||||
|
||||
# Third pass: plugin commands.
|
||||
for name, description, args_hint in _iter_plugin_command_entries():
|
||||
_add(name, description, args_hint or "")
|
||||
|
||||
return entries
|
||||
|
||||
|
||||
def slack_app_manifest(request_url: str = "https://hermes-agent.local/slack/commands") -> dict[str, Any]:
|
||||
"""Generate a Slack app manifest with all gateway commands as slashes.
|
||||
|
||||
``request_url`` is required by Slack's manifest schema for every slash
|
||||
command, but in Socket Mode (which we use) Slack ignores it and routes
|
||||
the command event through the WebSocket. A placeholder URL is fine.
|
||||
|
||||
The returned dict is the ``features.slash_commands`` portion only —
|
||||
callers compose it into a full manifest (or merge into an existing
|
||||
one). Keeping it narrow avoids coupling us to the rest of the manifest
|
||||
schema (display_information, oauth_config, settings, etc.) which users
|
||||
set up once in the Slack UI and rarely change.
|
||||
"""
|
||||
slashes = []
|
||||
for name, desc, usage in slack_native_slashes():
|
||||
entry = {
|
||||
"command": f"/{name}",
|
||||
"description": desc or f"Run /{name}",
|
||||
"should_escape": False,
|
||||
"url": request_url,
|
||||
}
|
||||
if usage:
|
||||
entry["usage_hint"] = usage
|
||||
slashes.append(entry)
|
||||
return {"features": {"slash_commands": slashes}}
|
||||
|
||||
|
||||
def slack_subcommand_map() -> dict[str, str]:
|
||||
"""Return subcommand -> /command mapping for Slack /hermes handler.
|
||||
|
||||
@@ -946,42 +831,6 @@ def slack_subcommand_map() -> dict[str, str]:
|
||||
# Autocomplete
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
# Per-process cache for /model<space> LM Studio autocomplete. Probing on
|
||||
# every keystroke would block the UI; a short TTL keeps it live without
|
||||
# hammering the server.
|
||||
_LMSTUDIO_COMPLETION_CACHE: tuple[float, list[str]] | None = None
|
||||
|
||||
|
||||
def _lmstudio_completion_models() -> list[str]:
|
||||
"""Locally-loaded LM Studio models for /model autocomplete (cached, gated)."""
|
||||
global _LMSTUDIO_COMPLETION_CACHE
|
||||
# Gate: don't probe 127.0.0.1 on every keystroke for users who don't use LM Studio.
|
||||
if not (os.environ.get("LM_API_KEY") or os.environ.get("LM_BASE_URL")):
|
||||
try:
|
||||
from hermes_cli.auth import _load_auth_store
|
||||
store = _load_auth_store() or {}
|
||||
if "lmstudio" not in (store.get("providers") or {}) \
|
||||
and "lmstudio" not in (store.get("credential_pool") or {}):
|
||||
return []
|
||||
except Exception:
|
||||
return []
|
||||
now = time.time()
|
||||
if _LMSTUDIO_COMPLETION_CACHE and (now - _LMSTUDIO_COMPLETION_CACHE[0]) < 30.0:
|
||||
return _LMSTUDIO_COMPLETION_CACHE[1]
|
||||
try:
|
||||
from hermes_cli.models import fetch_lmstudio_models
|
||||
models = fetch_lmstudio_models(
|
||||
api_key=os.environ.get("LM_API_KEY", ""),
|
||||
base_url=os.environ.get("LM_BASE_URL") or "http://127.0.0.1:1234/v1",
|
||||
timeout=0.8,
|
||||
)
|
||||
except Exception:
|
||||
models = []
|
||||
_LMSTUDIO_COMPLETION_CACHE = (now, models)
|
||||
return models
|
||||
|
||||
|
||||
class SlashCommandCompleter(Completer):
|
||||
"""Autocomplete for built-in slash commands, subcommands, and skill commands."""
|
||||
|
||||
@@ -1405,19 +1254,6 @@ class SlashCommandCompleter(Completer):
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
# LM Studio: surface locally-loaded models. Gated on the user actually
|
||||
# having LM Studio configured (env var or auth-store entry) so we
|
||||
# don't probe 127.0.0.1 on every keystroke for users who don't use it.
|
||||
for name in _lmstudio_completion_models():
|
||||
if name in seen:
|
||||
continue
|
||||
if name.startswith(sub_lower) and name != sub_lower:
|
||||
yield Completion(
|
||||
name,
|
||||
start_position=-len(sub_text),
|
||||
display=name,
|
||||
display_meta="LM Studio",
|
||||
)
|
||||
|
||||
def get_completions(self, document, complete_event):
|
||||
text = document.text_before_cursor
|
||||
|
||||
+41
-436
@@ -30,67 +30,34 @@ logger = logging.getLogger(__name__)
|
||||
_IS_WINDOWS = platform.system() == "Windows"
|
||||
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
|
||||
_LAST_EXPANDED_CONFIG_BY_PATH: Dict[str, Any] = {}
|
||||
# (path, mtime_ns, size) -> cached expanded config dict.
|
||||
# load_config() returns a deepcopy of the cached value when the file
|
||||
# hasn't changed since the last load, skipping yaml.safe_load +
|
||||
# _deep_merge + _normalize_* + _expand_env_vars (~13 ms/call).
|
||||
# save_config() + migrate_config() write via atomic_yaml_write which
|
||||
# produces a fresh inode, so stat() sees a new mtime_ns and the next
|
||||
# load repopulates automatically — no explicit invalidation hook.
|
||||
_LOAD_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
|
||||
# (path, mtime_ns, size) -> cached raw yaml dict. Same pattern as
|
||||
# _LOAD_CONFIG_CACHE but for read_raw_config() — used when callers want
|
||||
# the user's on-disk values without defaults merged in.
|
||||
_RAW_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
|
||||
# Env var names written to .env that aren't in OPTIONAL_ENV_VARS
|
||||
# (managed by setup/provider flows directly).
|
||||
_EXTRA_ENV_KEYS = frozenset({
|
||||
"OPENAI_API_KEY", "OPENAI_BASE_URL",
|
||||
"ANTHROPIC_API_KEY", "ANTHROPIC_TOKEN",
|
||||
"DISCORD_HOME_CHANNEL", "DISCORD_HOME_CHANNEL_NAME",
|
||||
"TELEGRAM_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL_NAME",
|
||||
"SLACK_HOME_CHANNEL", "SLACK_HOME_CHANNEL_NAME",
|
||||
"DISCORD_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL",
|
||||
"SIGNAL_ACCOUNT", "SIGNAL_HTTP_URL",
|
||||
"SIGNAL_ALLOWED_USERS", "SIGNAL_GROUP_ALLOWED_USERS",
|
||||
"SIGNAL_HOME_CHANNEL", "SIGNAL_HOME_CHANNEL_NAME",
|
||||
"SMS_HOME_CHANNEL", "SMS_HOME_CHANNEL_NAME",
|
||||
"DINGTALK_CLIENT_ID", "DINGTALK_CLIENT_SECRET",
|
||||
"DINGTALK_HOME_CHANNEL", "DINGTALK_HOME_CHANNEL_NAME",
|
||||
"FEISHU_APP_ID", "FEISHU_APP_SECRET", "FEISHU_ENCRYPT_KEY", "FEISHU_VERIFICATION_TOKEN",
|
||||
"FEISHU_HOME_CHANNEL", "FEISHU_HOME_CHANNEL_NAME",
|
||||
"YUANBAO_HOME_CHANNEL", "YUANBAO_HOME_CHANNEL_NAME",
|
||||
"WECOM_BOT_ID", "WECOM_SECRET",
|
||||
"WECOM_CALLBACK_CORP_ID", "WECOM_CALLBACK_CORP_SECRET", "WECOM_CALLBACK_AGENT_ID",
|
||||
"WECOM_CALLBACK_TOKEN", "WECOM_CALLBACK_ENCODING_AES_KEY",
|
||||
"WECOM_CALLBACK_HOST", "WECOM_CALLBACK_PORT",
|
||||
"WECOM_HOME_CHANNEL", "WECOM_HOME_CHANNEL_NAME",
|
||||
"WEIXIN_ACCOUNT_ID", "WEIXIN_TOKEN", "WEIXIN_BASE_URL", "WEIXIN_CDN_BASE_URL",
|
||||
"WEIXIN_HOME_CHANNEL", "WEIXIN_HOME_CHANNEL_NAME", "WEIXIN_DM_POLICY", "WEIXIN_GROUP_POLICY",
|
||||
"WEIXIN_ALLOWED_USERS", "WEIXIN_GROUP_ALLOWED_USERS", "WEIXIN_ALLOW_ALL_USERS",
|
||||
"BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
|
||||
"BLUEBUBBLES_HOME_CHANNEL", "BLUEBUBBLES_HOME_CHANNEL_NAME",
|
||||
"QQ_APP_ID", "QQ_CLIENT_SECRET", "QQBOT_HOME_CHANNEL", "QQBOT_HOME_CHANNEL_NAME",
|
||||
"QQ_HOME_CHANNEL", "QQ_HOME_CHANNEL_NAME", # legacy aliases (pre-rename, still read for back-compat)
|
||||
"QQ_ALLOWED_USERS", "QQ_GROUP_ALLOWED_USERS", "QQ_ALLOW_ALL_USERS", "QQ_MARKDOWN_SUPPORT",
|
||||
"QQ_STT_API_KEY", "QQ_STT_BASE_URL", "QQ_STT_MODEL",
|
||||
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
|
||||
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
|
||||
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_HOME_CHANNEL_NAME", "MATTERMOST_REPLY_MODE",
|
||||
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
|
||||
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_DEVICE_ID", "MATRIX_HOME_ROOM",
|
||||
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD", "MATRIX_DM_AUTO_THREAD",
|
||||
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD",
|
||||
"MATRIX_RECOVERY_KEY",
|
||||
# Langfuse observability plugin — optional tuning keys + standard SDK vars.
|
||||
# Activation is via plugins.enabled (opt-in through `hermes plugins enable
|
||||
# observability/langfuse` or `hermes tools → Langfuse`); credentials gate
|
||||
# the plugin at runtime.
|
||||
"HERMES_LANGFUSE_ENV",
|
||||
"HERMES_LANGFUSE_RELEASE",
|
||||
"HERMES_LANGFUSE_SAMPLE_RATE",
|
||||
"HERMES_LANGFUSE_MAX_CHARS",
|
||||
"HERMES_LANGFUSE_DEBUG",
|
||||
"LANGFUSE_PUBLIC_KEY",
|
||||
"LANGFUSE_SECRET_KEY",
|
||||
"LANGFUSE_BASE_URL",
|
||||
})
|
||||
import yaml
|
||||
|
||||
@@ -239,7 +206,6 @@ def get_container_exec_info() -> Optional[dict]:
|
||||
|
||||
# Re-export from hermes_constants — canonical definition lives there.
|
||||
from hermes_constants import get_hermes_home # noqa: F811,E402
|
||||
from utils import atomic_replace
|
||||
|
||||
def get_config_path() -> Path:
|
||||
"""Get the main config file path."""
|
||||
@@ -423,34 +389,6 @@ DEFAULT_CONFIG = {
|
||||
# (60+ tool iterations with tiny output) before users assume the
|
||||
# bot is dead and /restart.
|
||||
"gateway_notify_interval": 180,
|
||||
# Freshness window for the gateway auto-continue note (seconds).
|
||||
# After a gateway crash/restart/SIGTERM mid-run, the next user
|
||||
# message gets a "[System note: your previous turn was
|
||||
# interrupted — process the unfinished tool result(s) first]"
|
||||
# prepended so the model picks up where it left off. That's the
|
||||
# right behaviour while the interruption is fresh, but stale
|
||||
# markers (transcript last touched hours or days ago) can revive
|
||||
# an unrelated old task when the user's next message starts new
|
||||
# work. This window is the max age of the last persisted
|
||||
# transcript row for which we still inject the continue note.
|
||||
# Default 3600s comfortably covers a long turn (gateway_timeout
|
||||
# default is 1800s) plus runtime slack. Set to 0 to disable the
|
||||
# gate and restore pre-fix behaviour (always inject).
|
||||
"gateway_auto_continue_freshness": 3600,
|
||||
# How user-attached images are presented to the main model on each turn.
|
||||
# "auto" — attach natively when the active model reports
|
||||
# supports_vision=True AND the user hasn't explicitly
|
||||
# configured auxiliary.vision.provider. Otherwise fall
|
||||
# back to text (vision_analyze pre-analysis).
|
||||
# "native" — always attach natively; non-vision models will either
|
||||
# error at the provider or get a last-chance text fallback
|
||||
# (see run_agent._prepare_messages_for_api).
|
||||
# "text" — always pre-analyze with vision_analyze and prepend the
|
||||
# description as text; the main model never sees pixels.
|
||||
# Affects gateway platforms, the TUI, and CLI /attach. vision_analyze
|
||||
# remains available as a tool regardless of this setting — the routing
|
||||
# only controls how inbound user images are presented.
|
||||
"image_input_mode": "auto",
|
||||
},
|
||||
|
||||
"terminal": {
|
||||
@@ -527,7 +465,6 @@ DEFAULT_CONFIG = {
|
||||
"command_timeout": 30, # Timeout for browser commands in seconds (screenshot, navigate, etc.)
|
||||
"record_sessions": False, # Auto-record browser sessions as WebM videos
|
||||
"allow_private_urls": False, # Allow navigating to private/internal IPs (localhost, 192.168.x.x, etc.)
|
||||
"auto_local_for_private_urls": True, # When a cloud provider is set, auto-spawn local Chromium for LAN/localhost URLs instead of sending them to the cloud
|
||||
"cdp_url": "", # Optional persistent CDP endpoint for attaching to an existing Chromium/Chrome
|
||||
# CDP supervisor — dialog + frame detection via a persistent WebSocket.
|
||||
# Active only when a CDP-capable backend is attached (Browserbase or
|
||||
@@ -549,19 +486,6 @@ DEFAULT_CONFIG = {
|
||||
"checkpoints": {
|
||||
"enabled": True,
|
||||
"max_snapshots": 50, # Max checkpoints to keep per directory
|
||||
# Auto-maintenance: shadow repos accumulate forever under
|
||||
# ~/.hermes/checkpoints/ (one per cd'd working directory). Field
|
||||
# reports put the typical offender at 1000+ repos / ~12 GB. When
|
||||
# auto_prune is on, hermes sweeps at startup (at most once per
|
||||
# min_interval_hours) and deletes:
|
||||
# * orphan repos: HERMES_WORKDIR no longer exists on disk
|
||||
# * stale repos: newest mtime older than retention_days
|
||||
# Opt-in so users who rely on /rollback against long-ago sessions
|
||||
# never lose data silently.
|
||||
"auto_prune": False,
|
||||
"retention_days": 7,
|
||||
"delete_orphans": True,
|
||||
"min_interval_hours": 24,
|
||||
},
|
||||
|
||||
# Maximum characters returned by a single read_file call. Reads that
|
||||
@@ -594,7 +518,7 @@ DEFAULT_CONFIG = {
|
||||
"threshold": 0.50, # compress when context usage exceeds this ratio
|
||||
"target_ratio": 0.20, # fraction of threshold to preserve as recent tail
|
||||
"protect_last_n": 20, # minimum recent messages to keep uncompressed
|
||||
"hygiene_hard_message_limit": 400, # gateway session-hygiene force-compress threshold by message count
|
||||
|
||||
},
|
||||
|
||||
# Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
|
||||
@@ -688,6 +612,14 @@ DEFAULT_CONFIG = {
|
||||
"timeout": 30,
|
||||
"extra_body": {},
|
||||
},
|
||||
"flush_memories": {
|
||||
"provider": "auto",
|
||||
"model": "",
|
||||
"base_url": "",
|
||||
"api_key": "",
|
||||
"timeout": 30,
|
||||
"extra_body": {},
|
||||
},
|
||||
"title_generation": {
|
||||
"provider": "auto",
|
||||
"model": "",
|
||||
@@ -702,12 +634,7 @@ DEFAULT_CONFIG = {
|
||||
"compact": False,
|
||||
"personality": "kawaii",
|
||||
"resume_display": "full",
|
||||
"busy_input_mode": "interrupt", # interrupt | queue | steer
|
||||
# When true, `hermes --tui` auto-resumes the most recent human-
|
||||
# facing session on launch instead of forging a fresh one.
|
||||
# Mirrors `hermes -c` muscle memory. Default off so existing
|
||||
# users aren't surprised. HERMES_TUI_RESUME=<id> always wins.
|
||||
"tui_auto_resume_recent": False,
|
||||
"busy_input_mode": "interrupt",
|
||||
"bell_on_complete": False,
|
||||
"show_reasoning": False,
|
||||
"streaming": False,
|
||||
@@ -724,14 +651,6 @@ DEFAULT_CONFIG = {
|
||||
"tool_progress_overrides": {}, # DEPRECATED — use display.platforms instead
|
||||
"tool_preview_length": 0, # Max chars for tool call previews (0 = no limit, show full paths/commands)
|
||||
"platforms": {}, # Per-platform display overrides: {"telegram": {"tool_progress": "all"}, "slack": {"tool_progress": "off"}}
|
||||
# Gateway runtime-metadata footer appended to the FINAL message of a turn
|
||||
# (disabled by default to keep replies minimal). When enabled, renders
|
||||
# e.g. `model · 68% · ~/projects/hermes`. Per-platform overrides go under
|
||||
# display.platforms.<platform>.runtime_footer.
|
||||
"runtime_footer": {
|
||||
"enabled": False,
|
||||
"fields": ["model", "context_pct", "cwd"], # Order shown; drop any to hide
|
||||
},
|
||||
},
|
||||
|
||||
# Web dashboard settings
|
||||
@@ -864,15 +783,6 @@ DEFAULT_CONFIG = {
|
||||
# warning log if out of range.
|
||||
"max_spawn_depth": 1, # depth cap (1 = flat [default], 2 = orchestrator→leaf, 3 = three-level)
|
||||
"orchestrator_enabled": True, # kill switch for role="orchestrator"
|
||||
# When a subagent hits a dangerous-command approval prompt, the parent's
|
||||
# prompt_toolkit TUI owns stdin — a thread-local input() call from the
|
||||
# subagent worker would deadlock the parent UI. To avoid the deadlock,
|
||||
# subagent threads ALWAYS resolve approvals non-interactively:
|
||||
# false (default) → auto-deny with a logger.warning audit line (safe)
|
||||
# true → auto-approve "once" with a logger.warning audit line
|
||||
# Flip to true only if you trust delegated work to run dangerous cmds
|
||||
# without human review (cron pipelines, batch automation, etc.).
|
||||
"subagent_auto_approve": False,
|
||||
},
|
||||
|
||||
# Ephemeral prefill messages file — JSON list of {role, content} dicts
|
||||
@@ -929,7 +839,7 @@ DEFAULT_CONFIG = {
|
||||
"auto_thread": True, # Auto-create threads on @mention in channels (like Slack)
|
||||
"reactions": True, # Add 👀/✅/❌ reactions to messages during processing
|
||||
"channel_prompts": {}, # Per-channel ephemeral system prompts (forum parents apply to child threads)
|
||||
# discord / discord_admin tools: restrict which actions the agent may call.
|
||||
# discord_server tool: restrict which actions the agent may call.
|
||||
# Default (empty) = all actions allowed (subject to bot privileged intents).
|
||||
# Accepts comma-separated string ("list_guilds,list_channels,fetch_messages")
|
||||
# or YAML list. Unknown names are dropped with a warning at load time.
|
||||
@@ -949,7 +859,6 @@ DEFAULT_CONFIG = {
|
||||
|
||||
# Telegram platform settings (gateway mode)
|
||||
"telegram": {
|
||||
"reactions": False, # Add 👀/✅/❌ reactions to messages during processing
|
||||
"channel_prompts": {}, # Per-chat/topic ephemeral system prompts (topics inherit from parent group)
|
||||
},
|
||||
|
||||
@@ -1004,7 +913,7 @@ DEFAULT_CONFIG = {
|
||||
# Pre-exec security scanning via tirith
|
||||
"security": {
|
||||
"allow_private_urls": False, # Allow requests to private/internal IPs (for OpenWrt, proxies, VPNs)
|
||||
"redact_secrets": False,
|
||||
"redact_secrets": True,
|
||||
"tirith_enabled": True,
|
||||
"tirith_path": "tirith",
|
||||
"tirith_timeout": 5,
|
||||
@@ -1049,27 +958,6 @@ DEFAULT_CONFIG = {
|
||||
"backup_count": 3, # Number of rotated backup files to keep
|
||||
},
|
||||
|
||||
# Remotely-hosted model catalog manifest. When enabled, the CLI fetches
|
||||
# curated model lists for OpenRouter and Nous Portal from this URL,
|
||||
# falling back to the in-repo snapshot on network failure. Lets us
|
||||
# update model picker lists without shipping a hermes-agent release.
|
||||
# The default URL is served by the docs site GitHub Pages deploy.
|
||||
"model_catalog": {
|
||||
"enabled": True,
|
||||
"url": "https://hermes-agent.nousresearch.com/docs/api/model-catalog.json",
|
||||
# Disk cache TTL in hours. Beyond this, the CLI refetches on the
|
||||
# next /model or `hermes model` invocation; network failures
|
||||
# silently fall back to the stale cache.
|
||||
"ttl_hours": 24,
|
||||
# Optional per-provider override URLs for third parties that want
|
||||
# to self-host their own curation list using the same schema.
|
||||
# Example:
|
||||
# providers:
|
||||
# openrouter:
|
||||
# url: https://example.com/my-curation.json
|
||||
"providers": {},
|
||||
},
|
||||
|
||||
# Network settings — workarounds for connectivity issues.
|
||||
"network": {
|
||||
# Force IPv4 connections. On servers with broken or unreachable IPv6,
|
||||
@@ -1106,27 +994,6 @@ DEFAULT_CONFIG = {
|
||||
"min_interval_hours": 24,
|
||||
},
|
||||
|
||||
# Contextual first-touch onboarding hints (see agent/onboarding.py).
|
||||
# Each hint is shown once per install and then latched here so it
|
||||
# never fires again. Users can wipe the section to re-see all hints.
|
||||
"onboarding": {
|
||||
"seen": {},
|
||||
},
|
||||
|
||||
# ``hermes update`` behaviour.
|
||||
"updates": {
|
||||
# Run a full ``hermes backup``-style zip of HERMES_HOME before every
|
||||
# ``hermes update``. Backups land in ``<HERMES_HOME>/backups/`` and
|
||||
# can be restored with ``hermes import <path>``. Off by default —
|
||||
# on large HERMES_HOME directories the zip can add minutes to every
|
||||
# update. Set to true to re-enable, or pass ``--backup`` to opt in
|
||||
# for a single update run.
|
||||
"pre_update_backup": False,
|
||||
# How many pre-update backup zips to retain. Older ones are pruned
|
||||
# automatically after each successful backup.
|
||||
"backup_keep": 5,
|
||||
},
|
||||
|
||||
# Config schema version - bump this when adding new required fields
|
||||
"_config_version": 22,
|
||||
}
|
||||
@@ -1228,22 +1095,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"LM_API_KEY": {
|
||||
"description": "LM Studio bearer token for auth-enabled local servers",
|
||||
"prompt": "LM Studio API key / bearer token",
|
||||
"url": None,
|
||||
"password": True,
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"LM_BASE_URL": {
|
||||
"description": "LM Studio base URL override",
|
||||
"prompt": "LM Studio base URL (leave empty for default)",
|
||||
"url": None,
|
||||
"password": False,
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"GLM_API_KEY": {
|
||||
"description": "Z.AI / GLM API key (also recognized as ZAI_API_KEY / Z_AI_API_KEY)",
|
||||
"prompt": "Z.AI / GLM API key",
|
||||
@@ -1332,22 +1183,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"GMI_API_KEY": {
|
||||
"description": "GMI Cloud API key",
|
||||
"prompt": "GMI Cloud API key",
|
||||
"url": "https://www.gmicloud.ai/",
|
||||
"password": True,
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"GMI_BASE_URL": {
|
||||
"description": "GMI Cloud base URL override",
|
||||
"prompt": "GMI Cloud base URL (leave empty for default)",
|
||||
"url": None,
|
||||
"password": False,
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"MINIMAX_API_KEY": {
|
||||
"description": "MiniMax API key (international)",
|
||||
"prompt": "MiniMax API key",
|
||||
@@ -1535,21 +1370,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
"AZURE_FOUNDRY_API_KEY": {
|
||||
"description": "Azure Foundry API key for custom Azure endpoints",
|
||||
"prompt": "Azure Foundry API Key",
|
||||
"url": "https://ai.azure.com/",
|
||||
"password": True,
|
||||
"category": "provider",
|
||||
},
|
||||
"AZURE_FOUNDRY_BASE_URL": {
|
||||
"description": "Azure Foundry base URL (set via 'hermes model' for endpoint-specific config)",
|
||||
"prompt": "Azure Foundry base URL",
|
||||
"url": None,
|
||||
"password": False,
|
||||
"category": "provider",
|
||||
"advanced": True,
|
||||
},
|
||||
|
||||
# ── Tool API keys ──
|
||||
"EXA_API_KEY": {
|
||||
@@ -1717,44 +1537,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "tool",
|
||||
},
|
||||
|
||||
# ── Bundled skills (opt-in: only needed if the user uses that skill) ──
|
||||
# These use category="skill" (distinct from "tool") so the sandbox
|
||||
# env blocklist in tools/environments/local.py does NOT rewrite them —
|
||||
# skills legitimately need these passed through to curl via
|
||||
# tools/env_passthrough.py when the user's skill calls out.
|
||||
"NOTION_API_KEY": {
|
||||
"description": "Notion integration token (used by the `notion` skill)",
|
||||
"prompt": "Notion API key",
|
||||
"url": "https://www.notion.so/my-integrations",
|
||||
"password": True,
|
||||
"category": "skill",
|
||||
"advanced": True,
|
||||
},
|
||||
"LINEAR_API_KEY": {
|
||||
"description": "Linear personal API key (used by the `linear` skill)",
|
||||
"prompt": "Linear API key",
|
||||
"url": "https://linear.app/settings/api",
|
||||
"password": True,
|
||||
"category": "skill",
|
||||
"advanced": True,
|
||||
},
|
||||
"AIRTABLE_API_KEY": {
|
||||
"description": "Airtable personal access token (used by the `airtable` skill)",
|
||||
"prompt": "Airtable API key",
|
||||
"url": "https://airtable.com/create/tokens",
|
||||
"password": True,
|
||||
"category": "skill",
|
||||
"advanced": True,
|
||||
},
|
||||
"TENOR_API_KEY": {
|
||||
"description": "Tenor API key for GIF search (used by the `gif-search` skill)",
|
||||
"prompt": "Tenor API key",
|
||||
"url": "https://developers.google.com/tenor/guides/quickstart",
|
||||
"password": True,
|
||||
"category": "skill",
|
||||
"advanced": True,
|
||||
},
|
||||
|
||||
# ── Honcho ──
|
||||
"HONCHO_API_KEY": {
|
||||
"description": "Honcho API key for AI-native persistent memory",
|
||||
@@ -1770,30 +1552,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "tool",
|
||||
},
|
||||
|
||||
# ── Langfuse observability ──
|
||||
"HERMES_LANGFUSE_PUBLIC_KEY": {
|
||||
"description": "Langfuse project public key (pk-lf-...)",
|
||||
"prompt": "Langfuse public key",
|
||||
"url": "https://cloud.langfuse.com",
|
||||
"password": False,
|
||||
"category": "tool",
|
||||
},
|
||||
"HERMES_LANGFUSE_SECRET_KEY": {
|
||||
"description": "Langfuse project secret key (sk-lf-...)",
|
||||
"prompt": "Langfuse secret key",
|
||||
"url": "https://cloud.langfuse.com",
|
||||
"password": True,
|
||||
"category": "tool",
|
||||
},
|
||||
"HERMES_LANGFUSE_BASE_URL": {
|
||||
"description": "Langfuse server URL (default: https://cloud.langfuse.com)",
|
||||
"prompt": "Langfuse server URL (leave empty for cloud.langfuse.com)",
|
||||
"url": None,
|
||||
"password": False,
|
||||
"category": "tool",
|
||||
"advanced": True,
|
||||
},
|
||||
|
||||
# ── Messaging platforms ──
|
||||
"TELEGRAM_BOT_TOKEN": {
|
||||
"description": "Telegram bot token from @BotFather",
|
||||
@@ -1941,14 +1699,6 @@ OPTIONAL_ENV_VARS = {
|
||||
"category": "messaging",
|
||||
"advanced": True,
|
||||
},
|
||||
"MATRIX_DM_AUTO_THREAD": {
|
||||
"description": "Auto-create threads for DM messages in Matrix (default: false)",
|
||||
"prompt": "Auto-create threads in DMs (true/false)",
|
||||
"url": None,
|
||||
"password": False,
|
||||
"category": "messaging",
|
||||
"advanced": True,
|
||||
},
|
||||
"MATRIX_DEVICE_ID": {
|
||||
"description": "Stable Matrix device ID for E2EE persistence across restarts (e.g. HERMES_BOT)",
|
||||
"prompt": "Matrix device ID (stable across restarts)",
|
||||
@@ -2290,21 +2040,14 @@ def _normalize_custom_provider_entry(
|
||||
"baseUrl": "base_url",
|
||||
"apiMode": "api_mode",
|
||||
"keyEnv": "key_env",
|
||||
"apiKeyEnv": "key_env", # alias — OpenClaw-compatible + docs variant
|
||||
"defaultModel": "default_model",
|
||||
"contextLength": "context_length",
|
||||
"rateLimitDelay": "rate_limit_delay",
|
||||
}
|
||||
# api_key_env is a documented snake_case alias for key_env (see
|
||||
# website/docs/guides/azure-foundry.md). Normalize it up front so the
|
||||
# rest of the normalizer treats it as the canonical field.
|
||||
if "api_key_env" in entry and "key_env" not in entry:
|
||||
entry["key_env"] = entry["api_key_env"]
|
||||
_KNOWN_KEYS = {
|
||||
"name", "api", "url", "base_url", "api_key", "key_env", "api_key_env",
|
||||
"name", "api", "url", "base_url", "api_key", "key_env",
|
||||
"api_mode", "transport", "model", "default_model", "models",
|
||||
"context_length", "rate_limit_delay",
|
||||
"request_timeout_seconds", "stale_timeout_seconds",
|
||||
}
|
||||
for camel, snake in _CAMEL_ALIASES.items():
|
||||
if camel in entry and snake not in entry:
|
||||
@@ -2462,71 +2205,6 @@ def get_compatible_custom_providers(
|
||||
return compatible
|
||||
|
||||
|
||||
def get_custom_provider_context_length(
|
||||
model: str,
|
||||
base_url: str,
|
||||
custom_providers: Optional[List[Dict[str, Any]]] = None,
|
||||
config: Optional[Dict[str, Any]] = None,
|
||||
) -> Optional[int]:
|
||||
"""Look up a per-model ``context_length`` override from ``custom_providers``.
|
||||
|
||||
Matches any entry whose ``base_url`` equals ``base_url`` (trailing-slash
|
||||
insensitive) and returns ``custom_providers[i].models.<model>.context_length``
|
||||
if present and valid. Returns ``None`` when no override applies.
|
||||
|
||||
This is the single source of truth for custom-provider context overrides,
|
||||
used by:
|
||||
* ``AIAgent.__init__`` (startup resolution)
|
||||
* ``AIAgent.switch_model`` (mid-session ``/model`` switch)
|
||||
* ``hermes_cli.model_switch.resolve_display_context_length`` (``/model`` confirmation display)
|
||||
* ``gateway.run._format_session_info`` (``/info`` display)
|
||||
* ``agent.model_metadata.get_model_context_length`` (when custom_providers is threaded through)
|
||||
|
||||
Before this helper existed, the lookup was duplicated in ``run_agent.py``'s
|
||||
startup path only; every other path (notably ``/model`` switch) fell back
|
||||
to the 128K default. See #15779.
|
||||
"""
|
||||
if not model or not base_url:
|
||||
return None
|
||||
if custom_providers is None:
|
||||
try:
|
||||
custom_providers = get_compatible_custom_providers(config)
|
||||
except Exception:
|
||||
if config is None:
|
||||
return None
|
||||
raw = config.get("custom_providers")
|
||||
custom_providers = raw if isinstance(raw, list) else []
|
||||
if not isinstance(custom_providers, list):
|
||||
return None
|
||||
|
||||
target_url = (base_url or "").rstrip("/")
|
||||
if not target_url:
|
||||
return None
|
||||
|
||||
for entry in custom_providers:
|
||||
if not isinstance(entry, dict):
|
||||
continue
|
||||
entry_url = (entry.get("base_url") or "").rstrip("/")
|
||||
if not entry_url or entry_url != target_url:
|
||||
continue
|
||||
models = entry.get("models")
|
||||
if not isinstance(models, dict):
|
||||
continue
|
||||
model_cfg = models.get(model)
|
||||
if not isinstance(model_cfg, dict):
|
||||
continue
|
||||
raw_ctx = model_cfg.get("context_length")
|
||||
if raw_ctx is None:
|
||||
continue
|
||||
try:
|
||||
ctx = int(raw_ctx)
|
||||
except (TypeError, ValueError):
|
||||
continue
|
||||
if ctx > 0:
|
||||
return ctx
|
||||
return None
|
||||
|
||||
|
||||
def check_config_version() -> Tuple[int, int]:
|
||||
"""
|
||||
Check config version.
|
||||
@@ -2556,9 +2234,6 @@ _KNOWN_ROOT_KEYS = {
|
||||
_VALID_CUSTOM_PROVIDER_FIELDS = {
|
||||
"name", "base_url", "api_key", "api_mode", "model", "models",
|
||||
"context_length", "rate_limit_delay",
|
||||
# key_env is read at runtime by runtime_provider.py and auxiliary_client.py
|
||||
# — include it here so the set accurately describes the supported schema.
|
||||
"key_env",
|
||||
}
|
||||
|
||||
# Fields that look like they should be inside custom_providers, not at root
|
||||
@@ -2635,32 +2310,10 @@ def validate_config_structure(config: Optional[Dict[str, Any]] = None) -> List["
|
||||
"Add the API endpoint URL, e.g.: base_url: https://api.example.com/v1",
|
||||
))
|
||||
|
||||
# ── fallback_model: single dict OR list of dicts (chain) ─────────────
|
||||
# ── fallback_model must be a top-level dict with provider + model ────
|
||||
fb = config.get("fallback_model")
|
||||
if fb is not None:
|
||||
if isinstance(fb, list):
|
||||
# Chain fallback — validate each entry
|
||||
for i, entry in enumerate(fb):
|
||||
if not isinstance(entry, dict):
|
||||
issues.append(ConfigIssue(
|
||||
"error",
|
||||
f"fallback_model[{i}] should be a dict, got {type(entry).__name__}",
|
||||
"Each entry needs provider + model",
|
||||
))
|
||||
else:
|
||||
if not entry.get("provider"):
|
||||
issues.append(ConfigIssue(
|
||||
"warning",
|
||||
f"fallback_model[{i}] is missing 'provider' field",
|
||||
"Add: provider: openrouter (or another provider)",
|
||||
))
|
||||
if not entry.get("model"):
|
||||
issues.append(ConfigIssue(
|
||||
"warning",
|
||||
f"fallback_model[{i}] is missing 'model' field",
|
||||
"Add: model: <model-name>",
|
||||
))
|
||||
elif not isinstance(fb, dict):
|
||||
if not isinstance(fb, dict):
|
||||
issues.append(ConfigIssue(
|
||||
"error",
|
||||
f"fallback_model should be a dict with 'provider' and 'model', got {type(fb).__name__}",
|
||||
@@ -3453,62 +3106,25 @@ def read_raw_config() -> Dict[str, Any]:
|
||||
be parsed. Use this for lightweight config reads where you just need a
|
||||
single value and don't want the overhead of ``load_config()``'s deep-merge
|
||||
+ migration pipeline.
|
||||
|
||||
Cached on the config file's (mtime_ns, size) — same strategy as
|
||||
``load_config()``. Returns a deepcopy on every call since some callers
|
||||
mutate the result before passing to ``save_config()``.
|
||||
"""
|
||||
try:
|
||||
config_path = get_config_path()
|
||||
st = config_path.stat()
|
||||
cache_key = (st.st_mtime_ns, st.st_size)
|
||||
except (FileNotFoundError, OSError):
|
||||
return {}
|
||||
|
||||
path_key = str(config_path)
|
||||
cached = _RAW_CONFIG_CACHE.get(path_key)
|
||||
if cached is not None and cached[:2] == cache_key:
|
||||
return copy.deepcopy(cached[2])
|
||||
|
||||
try:
|
||||
with open(config_path, encoding="utf-8") as f:
|
||||
data = yaml.safe_load(f) or {}
|
||||
if config_path.exists():
|
||||
with open(config_path, encoding="utf-8") as f:
|
||||
return yaml.safe_load(f) or {}
|
||||
except Exception:
|
||||
return {}
|
||||
|
||||
if not isinstance(data, dict):
|
||||
data = {}
|
||||
_RAW_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(data))
|
||||
return data
|
||||
pass
|
||||
return {}
|
||||
|
||||
|
||||
def load_config() -> Dict[str, Any]:
|
||||
"""Load configuration from ~/.hermes/config.yaml.
|
||||
|
||||
Cached on the config file's (mtime_ns, size). Returns a deepcopy of
|
||||
the cached value when unchanged, since most call sites mutate the
|
||||
result (e.g. ``cfg["model"]["default"] = ...`` before ``save_config``).
|
||||
The cache is keyed on ``str(config_path)`` so profile switches
|
||||
(which change ``HERMES_HOME`` and therefore ``get_config_path()``)
|
||||
don't collide.
|
||||
"""
|
||||
"""Load configuration from ~/.hermes/config.yaml."""
|
||||
ensure_hermes_home()
|
||||
config_path = get_config_path()
|
||||
path_key = str(config_path)
|
||||
|
||||
try:
|
||||
st = config_path.stat()
|
||||
cache_key: Optional[Tuple[int, int]] = (st.st_mtime_ns, st.st_size)
|
||||
except FileNotFoundError:
|
||||
cache_key = None
|
||||
|
||||
cached = _LOAD_CONFIG_CACHE.get(path_key)
|
||||
if cached is not None and cache_key is not None and cached[:2] == cache_key:
|
||||
return copy.deepcopy(cached[2])
|
||||
|
||||
|
||||
config = copy.deepcopy(DEFAULT_CONFIG)
|
||||
|
||||
if cache_key is not None:
|
||||
|
||||
if config_path.exists():
|
||||
try:
|
||||
with open(config_path, encoding="utf-8") as f:
|
||||
user_config = yaml.safe_load(f) or {}
|
||||
@@ -3526,26 +3142,20 @@ def load_config() -> Dict[str, Any]:
|
||||
|
||||
normalized = _normalize_root_model_keys(_normalize_max_turns_config(config))
|
||||
expanded = _expand_env_vars(normalized)
|
||||
_LAST_EXPANDED_CONFIG_BY_PATH[path_key] = copy.deepcopy(expanded)
|
||||
if cache_key is not None:
|
||||
_LOAD_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(expanded))
|
||||
else:
|
||||
_LOAD_CONFIG_CACHE.pop(path_key, None)
|
||||
_LAST_EXPANDED_CONFIG_BY_PATH[str(config_path)] = copy.deepcopy(expanded)
|
||||
return expanded
|
||||
|
||||
|
||||
_SECURITY_COMMENT = """
|
||||
# ── Security ──────────────────────────────────────────────────────────
|
||||
# Secret redaction is OFF by default — tool output (terminal stdout,
|
||||
# read_file results, web content) passes through unmodified. Set
|
||||
# redact_secrets to true to mask strings that look like API keys, tokens,
|
||||
# and passwords before they enter the model context and logs.
|
||||
# API keys, tokens, and passwords are redacted from tool output by default.
|
||||
# Set to false to see full values (useful for debugging auth issues).
|
||||
# tirith pre-exec scanning is enabled by default when the tirith binary
|
||||
# is available. Configure via security.tirith_* keys or env vars
|
||||
# (TIRITH_ENABLED, TIRITH_BIN, TIRITH_TIMEOUT, TIRITH_FAIL_OPEN).
|
||||
#
|
||||
# security:
|
||||
# redact_secrets: true
|
||||
# redact_secrets: false
|
||||
# tirith_enabled: true
|
||||
# tirith_path: "tirith"
|
||||
# tirith_timeout: 5
|
||||
@@ -3578,11 +3188,11 @@ _FALLBACK_COMMENT = """
|
||||
|
||||
_COMMENTED_SECTIONS = """
|
||||
# ── Security ──────────────────────────────────────────────────────────
|
||||
# Secret redaction is OFF by default. Set to true to mask strings that
|
||||
# look like API keys, tokens, and passwords in tool output and logs.
|
||||
# API keys, tokens, and passwords are redacted from tool output by default.
|
||||
# Set to false to see full values (useful for debugging auth issues).
|
||||
#
|
||||
# security:
|
||||
# redact_secrets: true
|
||||
# redact_secrets: false
|
||||
|
||||
# ── Fallback Model ────────────────────────────────────────────────────
|
||||
# Automatic provider failover when primary is unavailable.
|
||||
@@ -3633,12 +3243,7 @@ def save_config(config: Dict[str, Any]):
|
||||
if not sec or sec.get("redact_secrets") is None:
|
||||
parts.append(_SECURITY_COMMENT)
|
||||
fb = normalized.get("fallback_model", {})
|
||||
fb_is_valid = False
|
||||
if isinstance(fb, list):
|
||||
fb_is_valid = any(isinstance(e, dict) and e.get("provider") and e.get("model") for e in fb)
|
||||
elif isinstance(fb, dict):
|
||||
fb_is_valid = bool(fb.get("provider") and fb.get("model"))
|
||||
if not fb_is_valid:
|
||||
if not fb or not isinstance(fb, dict) or not (fb.get("provider") and fb.get("model")):
|
||||
parts.append(_FALLBACK_COMMENT)
|
||||
|
||||
atomic_yaml_write(
|
||||
@@ -3764,7 +3369,7 @@ def sanitize_env_file() -> int:
|
||||
f.writelines(sanitized)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, env_path)
|
||||
os.replace(tmp_path, env_path)
|
||||
except BaseException:
|
||||
try:
|
||||
os.unlink(tmp_path)
|
||||
@@ -3827,7 +3432,7 @@ def save_env_value(key: str, value: str):
|
||||
value = _check_non_ascii_credential(key, value)
|
||||
ensure_hermes_home()
|
||||
env_path = get_env_path()
|
||||
|
||||
|
||||
# On Windows, open() defaults to the system locale (cp1252) which can
|
||||
# cause OSError errno 22 on UTF-8 .env files.
|
||||
read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
|
||||
@@ -3839,7 +3444,7 @@ def save_env_value(key: str, value: str):
|
||||
lines = f.readlines()
|
||||
# Sanitize on every read: split concatenated keys, drop stale placeholders
|
||||
lines = _sanitize_env_lines(lines)
|
||||
|
||||
|
||||
# Find and update or append
|
||||
found = False
|
||||
for i, line in enumerate(lines):
|
||||
@@ -3847,7 +3452,7 @@ def save_env_value(key: str, value: str):
|
||||
lines[i] = f"{key}={value}\n"
|
||||
found = True
|
||||
break
|
||||
|
||||
|
||||
if not found:
|
||||
# Ensure there's a newline at the end of the file before appending
|
||||
if lines and not lines[-1].endswith("\n"):
|
||||
@@ -3867,7 +3472,7 @@ def save_env_value(key: str, value: str):
|
||||
f.writelines(lines)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, env_path)
|
||||
os.replace(tmp_path, env_path)
|
||||
# Restore original permissions before _secure_file may tighten them.
|
||||
if original_mode is not None:
|
||||
try:
|
||||
@@ -3923,7 +3528,7 @@ def remove_env_value(key: str) -> bool:
|
||||
f.writelines(new_lines)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp_path, env_path)
|
||||
os.replace(tmp_path, env_path)
|
||||
if original_mode is not None:
|
||||
try:
|
||||
os.chmod(env_path, original_mode)
|
||||
|
||||
+7
-13
@@ -7,6 +7,7 @@ Currently supports:
|
||||
|
||||
import io
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import urllib.error
|
||||
@@ -17,7 +18,6 @@ from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from hermes_constants import get_hermes_home
|
||||
from utils import atomic_replace
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -45,13 +45,8 @@ def _pending_file() -> Path:
|
||||
Each entry: ``{"url": "...", "expire_at": <unix_ts>}``. Scheduled
|
||||
DELETEs used to be handled by spawning a detached Python process per
|
||||
paste that slept for 6 hours; those accumulated forever if the user
|
||||
ran ``hermes debug share`` repeatedly.
|
||||
|
||||
Deletion is now driven by the gateway's cron ticker
|
||||
(``gateway/run.py::_start_cron_ticker``) which calls
|
||||
``_sweep_expired_pastes`` once per hour. ``hermes debug share`` also
|
||||
runs an opportunistic sweep on entry as a fallback for CLI-only users
|
||||
who never start the gateway.
|
||||
ran ``hermes debug share`` repeatedly. We now persist the schedule
|
||||
to disk and sweep expired entries on the next debug invocation.
|
||||
"""
|
||||
return get_hermes_home() / "pastes" / "pending.json"
|
||||
|
||||
@@ -79,7 +74,7 @@ def _save_pending(entries: list[dict]) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
tmp = path.with_suffix(".json.tmp")
|
||||
tmp.write_text(json.dumps(entries, indent=2), encoding="utf-8")
|
||||
atomic_replace(tmp, path)
|
||||
os.replace(tmp, path)
|
||||
except OSError:
|
||||
# Non-fatal — worst case the user has to run ``hermes debug delete``
|
||||
# manually.
|
||||
@@ -228,10 +223,9 @@ def _schedule_auto_delete(urls: list[str], delay_seconds: int = _AUTO_DELETE_SEC
|
||||
interpreters that never exited until the sleep completed.
|
||||
|
||||
The replacement is stateless: we append to ``~/.hermes/pastes/pending.json``
|
||||
and the gateway's cron ticker sweeps expired entries once per hour.
|
||||
``hermes debug share`` also runs an opportunistic sweep as a fallback
|
||||
for CLI-only users. If neither runs again, paste.rs's own retention
|
||||
policy handles cleanup.
|
||||
and rely on opportunistic sweeps (``_sweep_expired_pastes``) called from
|
||||
every ``hermes debug`` invocation. If the user never runs ``hermes debug``
|
||||
again, paste.rs's own retention policy handles cleanup.
|
||||
"""
|
||||
_record_pending(urls, delay_seconds=delay_seconds)
|
||||
|
||||
|
||||
@@ -13,6 +13,7 @@ automatically.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import io
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
|
||||
+3
-17
@@ -46,7 +46,6 @@ _PROVIDER_ENV_HINTS = (
|
||||
"Z_AI_API_KEY",
|
||||
"KIMI_API_KEY",
|
||||
"KIMI_CN_API_KEY",
|
||||
"GMI_API_KEY",
|
||||
"MINIMAX_API_KEY",
|
||||
"MINIMAX_CN_API_KEY",
|
||||
"KILOCODE_API_KEY",
|
||||
@@ -57,7 +56,6 @@ _PROVIDER_ENV_HINTS = (
|
||||
"OPENCODE_ZEN_API_KEY",
|
||||
"OPENCODE_GO_API_KEY",
|
||||
"XIAOMI_API_KEY",
|
||||
"TOKENHUB_API_KEY",
|
||||
)
|
||||
|
||||
|
||||
@@ -322,11 +320,7 @@ def run_doctor(args):
|
||||
known_providers.add("custom:" + name.lower().replace(" ", "-"))
|
||||
|
||||
canonical_provider = provider
|
||||
if (
|
||||
provider
|
||||
and _resolve_provider_full is not None
|
||||
and provider not in ("auto", "custom")
|
||||
):
|
||||
if provider and _resolve_provider_full is not None and provider != "auto":
|
||||
provider_def = _resolve_provider_full(provider, user_providers, custom_providers)
|
||||
canonical_provider = provider_def.id if provider_def is not None else None
|
||||
|
||||
@@ -344,7 +338,7 @@ def run_doctor(args):
|
||||
)
|
||||
|
||||
# Warn if model is set to a provider-prefixed name on a provider that doesn't use them
|
||||
if default_model and "/" in default_model and canonical_provider and canonical_provider not in ("openrouter", "custom", "auto", "ai-gateway", "kilocode", "opencode-zen", "huggingface", "nous", "lmstudio"):
|
||||
if default_model and "/" in default_model and canonical_provider and canonical_provider not in ("openrouter", "custom", "auto", "ai-gateway", "kilocode", "opencode-zen", "huggingface", "nous"):
|
||||
check_warn(
|
||||
f"model.default '{default_model}' uses a vendor/model slug but provider is '{provider_raw}'",
|
||||
"(vendor-prefixed slugs belong to aggregators like openrouter)",
|
||||
@@ -517,14 +511,7 @@ def run_doctor(args):
|
||||
if shutil.which("codex"):
|
||||
check_ok("codex CLI")
|
||||
else:
|
||||
# Native OAuth uses Hermes' own device-code flow — the Codex CLI is
|
||||
# only needed if you want to import existing tokens from
|
||||
# ~/.codex/auth.json. Downgrade to info so users running
|
||||
# `hermes auth openai-codex` aren't told they're missing something.
|
||||
check_info(
|
||||
"codex CLI not installed "
|
||||
"(optional — only required to import tokens from an existing Codex CLI login)"
|
||||
)
|
||||
check_warn("codex CLI not found", "(required for openai-codex login)")
|
||||
|
||||
# =========================================================================
|
||||
# Check: Directory structure
|
||||
@@ -946,7 +933,6 @@ def run_doctor(args):
|
||||
("StepFun Step Plan", ("STEPFUN_API_KEY",), "https://api.stepfun.ai/step_plan/v1/models", "STEPFUN_BASE_URL", True),
|
||||
("Kimi / Moonshot (China)", ("KIMI_CN_API_KEY",), "https://api.moonshot.cn/v1/models", None, True),
|
||||
("Arcee AI", ("ARCEEAI_API_KEY",), "https://api.arcee.ai/api/v1/models", "ARCEE_BASE_URL", True),
|
||||
("GMI Cloud", ("GMI_API_KEY",), "https://api.gmi-serving.com/v1/models", "GMI_BASE_URL", True),
|
||||
("DeepSeek", ("DEEPSEEK_API_KEY",), "https://api.deepseek.com/v1/models", "DEEPSEEK_BASE_URL", True),
|
||||
("Hugging Face", ("HF_TOKEN",), "https://router.huggingface.co/v1/models", "HF_BASE_URL", True),
|
||||
("NVIDIA NIM", ("NVIDIA_API_KEY",), "https://integrate.api.nvidia.com/v1/models", "NVIDIA_BASE_URL", True),
|
||||
|
||||
@@ -7,7 +7,6 @@ import sys
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from utils import atomic_replace
|
||||
|
||||
|
||||
# Env var name suffixes that indicate credential values. These are the
|
||||
@@ -128,7 +127,7 @@ def _sanitize_env_file_if_needed(path: Path) -> None:
|
||||
f.writelines(sanitized)
|
||||
f.flush()
|
||||
os.fsync(f.fileno())
|
||||
atomic_replace(tmp, path)
|
||||
os.replace(tmp, path)
|
||||
except BaseException:
|
||||
try:
|
||||
os.unlink(tmp)
|
||||
|
||||
@@ -1,361 +0,0 @@
|
||||
"""
|
||||
hermes fallback — manage the fallback provider chain.
|
||||
|
||||
Fallback providers are tried in order when the primary model fails with
|
||||
rate-limit, overload, or connection errors. See:
|
||||
https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers
|
||||
|
||||
Subcommands:
|
||||
hermes fallback [list] Show the current fallback chain (default when no subcommand)
|
||||
hermes fallback add Pick provider + model via the same picker as `hermes model`,
|
||||
then append the selection to the chain
|
||||
hermes fallback remove Pick an entry to delete from the chain
|
||||
hermes fallback clear Remove all fallback entries
|
||||
|
||||
Storage: ``fallback_providers`` in ``~/.hermes/config.yaml`` (top-level, list of
|
||||
``{provider, model, base_url?, api_mode?}`` dicts). The legacy single-dict
|
||||
``fallback_model`` format is migrated to the new list format on first add.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import copy
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def _read_chain(config: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
"""Return the normalized fallback chain as a list of dicts.
|
||||
|
||||
Accepts both the new list format (``fallback_providers``) and the legacy
|
||||
single-dict format (``fallback_model``). The returned list is always a
|
||||
fresh copy — callers can mutate without touching the config dict.
|
||||
"""
|
||||
chain = config.get("fallback_providers") or []
|
||||
if isinstance(chain, list):
|
||||
result = [dict(e) for e in chain if isinstance(e, dict) and e.get("provider") and e.get("model")]
|
||||
if result:
|
||||
return result
|
||||
legacy = config.get("fallback_model")
|
||||
if isinstance(legacy, dict) and legacy.get("provider") and legacy.get("model"):
|
||||
return [dict(legacy)]
|
||||
if isinstance(legacy, list):
|
||||
return [dict(e) for e in legacy if isinstance(e, dict) and e.get("provider") and e.get("model")]
|
||||
return []
|
||||
|
||||
|
||||
def _write_chain(config: Dict[str, Any], chain: List[Dict[str, Any]]) -> None:
|
||||
"""Persist the chain to ``fallback_providers`` and clear legacy key."""
|
||||
config["fallback_providers"] = chain
|
||||
# Drop the legacy single-dict key on write so there's only one source of truth.
|
||||
if "fallback_model" in config:
|
||||
config.pop("fallback_model", None)
|
||||
|
||||
|
||||
def _format_entry(entry: Dict[str, Any]) -> str:
|
||||
"""One-line human-readable rendering of a fallback entry."""
|
||||
provider = entry.get("provider", "?")
|
||||
model = entry.get("model", "?")
|
||||
base = entry.get("base_url")
|
||||
suffix = f" [{base}]" if base else ""
|
||||
return f"{model} (via {provider}){suffix}"
|
||||
|
||||
|
||||
def _extract_fallback_from_model_cfg(model_cfg: Any) -> Optional[Dict[str, Any]]:
|
||||
"""Pull the ``{provider, model, base_url?, api_mode?}`` dict from a ``config["model"]`` snapshot."""
|
||||
if not isinstance(model_cfg, dict):
|
||||
return None
|
||||
provider = (model_cfg.get("provider") or "").strip()
|
||||
# The picker writes the selected model to ``model.default``.
|
||||
model = (model_cfg.get("default") or model_cfg.get("model") or "").strip()
|
||||
if not provider or not model:
|
||||
return None
|
||||
entry: Dict[str, Any] = {"provider": provider, "model": model}
|
||||
base_url = (model_cfg.get("base_url") or "").strip()
|
||||
if base_url:
|
||||
entry["base_url"] = base_url
|
||||
api_mode = (model_cfg.get("api_mode") or "").strip()
|
||||
if api_mode:
|
||||
entry["api_mode"] = api_mode
|
||||
return entry
|
||||
|
||||
|
||||
def _snapshot_auth_active_provider() -> Any:
|
||||
"""Return the current ``active_provider`` in auth.json, or a sentinel if unavailable."""
|
||||
try:
|
||||
from hermes_cli.auth import _load_auth_store
|
||||
store = _load_auth_store()
|
||||
return store.get("active_provider")
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def _restore_auth_active_provider(value: Any) -> None:
|
||||
"""Write back a previously snapshotted ``active_provider`` value."""
|
||||
try:
|
||||
from hermes_cli.auth import _auth_store_lock, _load_auth_store, _save_auth_store
|
||||
with _auth_store_lock():
|
||||
store = _load_auth_store()
|
||||
store["active_provider"] = value
|
||||
_save_auth_store(store)
|
||||
except Exception:
|
||||
# Best-effort — if auth.json can't be restored, the user's primary
|
||||
# provider may have been deactivated by the picker. They can re-run
|
||||
# `hermes model` to fix it. Don't fail the fallback add.
|
||||
pass
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Subcommand handlers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def cmd_fallback_list(args) -> None: # noqa: ARG001
|
||||
"""Print the current fallback chain."""
|
||||
from hermes_cli.config import load_config
|
||||
|
||||
config = load_config()
|
||||
chain = _read_chain(config)
|
||||
|
||||
print()
|
||||
if not chain:
|
||||
print(" No fallback providers configured.")
|
||||
print()
|
||||
print(" Add one with: hermes fallback add")
|
||||
print()
|
||||
return
|
||||
|
||||
primary = _describe_primary(config)
|
||||
if primary:
|
||||
print(f" Primary: {primary}")
|
||||
print()
|
||||
print(f" Fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
|
||||
for i, entry in enumerate(chain, 1):
|
||||
print(f" {i}. {_format_entry(entry)}")
|
||||
print()
|
||||
print(" Tried in order when the primary fails (rate-limit, 5xx, connection errors).")
|
||||
print(" Docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/fallback-providers")
|
||||
print()
|
||||
|
||||
|
||||
def _describe_primary(config: Dict[str, Any]) -> Optional[str]:
|
||||
"""One-line description of the primary model for display purposes."""
|
||||
model_cfg = config.get("model")
|
||||
if isinstance(model_cfg, dict):
|
||||
provider = (model_cfg.get("provider") or "?").strip() or "?"
|
||||
model = (model_cfg.get("default") or model_cfg.get("model") or "?").strip() or "?"
|
||||
return f"{model} (via {provider})"
|
||||
if isinstance(model_cfg, str) and model_cfg.strip():
|
||||
return model_cfg.strip()
|
||||
return None
|
||||
|
||||
|
||||
def cmd_fallback_add(args) -> None:
|
||||
"""Launch the same picker as `hermes model`, then append the selection to the chain."""
|
||||
from hermes_cli.main import _require_tty, select_provider_and_model
|
||||
from hermes_cli.config import load_config, save_config
|
||||
|
||||
_require_tty("fallback add")
|
||||
|
||||
# Snapshot BEFORE the picker runs so we can distinguish "user actually
|
||||
# picked something" from "user cancelled" by comparing before/after.
|
||||
before_cfg = load_config()
|
||||
model_before = copy.deepcopy(before_cfg.get("model"))
|
||||
active_provider_before = _snapshot_auth_active_provider()
|
||||
|
||||
print()
|
||||
print(" Adding a fallback provider. The picker below is the same one used by")
|
||||
print(" `hermes model` — select the provider + model you want as a fallback.")
|
||||
print()
|
||||
|
||||
try:
|
||||
select_provider_and_model(args=args)
|
||||
except SystemExit:
|
||||
# Some provider flows exit on auth failure — restore state and re-raise.
|
||||
_restore_model_cfg(model_before)
|
||||
_restore_auth_active_provider(active_provider_before)
|
||||
raise
|
||||
|
||||
# Read the post-picker state to see what the user selected.
|
||||
after_cfg = load_config()
|
||||
model_after = after_cfg.get("model")
|
||||
|
||||
new_entry = _extract_fallback_from_model_cfg(model_after)
|
||||
if not new_entry:
|
||||
# Picker didn't complete (user cancelled or flow bailed). Nothing to do.
|
||||
_restore_model_cfg(model_before)
|
||||
_restore_auth_active_provider(active_provider_before)
|
||||
print()
|
||||
print(" No fallback added.")
|
||||
return
|
||||
|
||||
# Picker picked the same thing that's already the primary → nothing changed,
|
||||
# and there's nothing useful to add as a fallback to itself.
|
||||
primary_entry = _extract_fallback_from_model_cfg(model_before)
|
||||
if primary_entry and primary_entry["provider"] == new_entry["provider"] \
|
||||
and primary_entry["model"] == new_entry["model"]:
|
||||
_restore_model_cfg(model_before)
|
||||
_restore_auth_active_provider(active_provider_before)
|
||||
print()
|
||||
print(f" Selected model matches the current primary ({_format_entry(new_entry)}).")
|
||||
print(" A provider cannot be a fallback for itself — no change.")
|
||||
return
|
||||
|
||||
# Reload the config with the primary restored, then append the new entry
|
||||
# to ``fallback_providers``. We deliberately re-load (rather than mutating
|
||||
# ``after_cfg``) because the picker may have touched other top-level keys
|
||||
# (custom_providers, providers credentials) that we want to keep.
|
||||
_restore_model_cfg(model_before)
|
||||
_restore_auth_active_provider(active_provider_before)
|
||||
|
||||
final_cfg = load_config()
|
||||
chain = _read_chain(final_cfg)
|
||||
|
||||
# Reject exact-duplicate fallback entries.
|
||||
for existing in chain:
|
||||
if existing.get("provider") == new_entry["provider"] \
|
||||
and existing.get("model") == new_entry["model"]:
|
||||
print()
|
||||
print(f" {_format_entry(new_entry)} is already in the fallback chain — skipped.")
|
||||
return
|
||||
|
||||
chain.append(new_entry)
|
||||
_write_chain(final_cfg, chain)
|
||||
save_config(final_cfg)
|
||||
|
||||
print()
|
||||
print(f" Added fallback: {_format_entry(new_entry)}")
|
||||
print(f" Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
|
||||
print()
|
||||
print(" Run `hermes fallback list` to view, or `hermes fallback remove` to delete.")
|
||||
|
||||
|
||||
def _restore_model_cfg(model_before: Any) -> None:
|
||||
"""Restore ``config["model"]`` to a previously-captured snapshot."""
|
||||
from hermes_cli.config import load_config, save_config
|
||||
|
||||
cfg = load_config()
|
||||
if model_before is None:
|
||||
cfg.pop("model", None)
|
||||
else:
|
||||
cfg["model"] = copy.deepcopy(model_before)
|
||||
save_config(cfg)
|
||||
|
||||
|
||||
def cmd_fallback_remove(args) -> None: # noqa: ARG001
|
||||
"""Pick an entry from the chain and remove it."""
|
||||
from hermes_cli.config import load_config, save_config
|
||||
|
||||
config = load_config()
|
||||
chain = _read_chain(config)
|
||||
|
||||
if not chain:
|
||||
print()
|
||||
print(" No fallback providers configured — nothing to remove.")
|
||||
print()
|
||||
return
|
||||
|
||||
choices = [_format_entry(e) for e in chain]
|
||||
choices.append("Cancel")
|
||||
|
||||
try:
|
||||
from hermes_cli.setup import _curses_prompt_choice
|
||||
idx = _curses_prompt_choice("Select a fallback to remove:", choices, 0)
|
||||
except Exception:
|
||||
idx = _numbered_pick("Select a fallback to remove:", choices)
|
||||
|
||||
if idx is None or idx < 0 or idx >= len(chain):
|
||||
print()
|
||||
print(" Cancelled — no change.")
|
||||
return
|
||||
|
||||
removed = chain.pop(idx)
|
||||
_write_chain(config, chain)
|
||||
save_config(config)
|
||||
|
||||
print()
|
||||
print(f" Removed fallback: {_format_entry(removed)}")
|
||||
if chain:
|
||||
print(f" Chain is now {len(chain)} {'entry' if len(chain) == 1 else 'entries'} long.")
|
||||
else:
|
||||
print(" Fallback chain is now empty.")
|
||||
print()
|
||||
|
||||
|
||||
def cmd_fallback_clear(args) -> None: # noqa: ARG001
|
||||
"""Remove all fallback entries (with confirmation)."""
|
||||
from hermes_cli.config import load_config, save_config
|
||||
|
||||
config = load_config()
|
||||
chain = _read_chain(config)
|
||||
|
||||
if not chain:
|
||||
print()
|
||||
print(" No fallback providers configured — nothing to clear.")
|
||||
print()
|
||||
return
|
||||
|
||||
print()
|
||||
print(f" Current fallback chain ({len(chain)} {'entry' if len(chain) == 1 else 'entries'}):")
|
||||
for i, entry in enumerate(chain, 1):
|
||||
print(f" {i}. {_format_entry(entry)}")
|
||||
print()
|
||||
try:
|
||||
resp = input(" Clear all entries? [y/N]: ").strip().lower()
|
||||
except (KeyboardInterrupt, EOFError):
|
||||
print()
|
||||
print(" Cancelled.")
|
||||
return
|
||||
if resp not in ("y", "yes"):
|
||||
print(" Cancelled — no change.")
|
||||
return
|
||||
|
||||
_write_chain(config, [])
|
||||
save_config(config)
|
||||
print()
|
||||
print(" Fallback chain cleared.")
|
||||
print()
|
||||
|
||||
|
||||
def _numbered_pick(question: str, choices: List[str]) -> Optional[int]:
|
||||
"""Fallback numbered-list picker when curses is unavailable."""
|
||||
print(question)
|
||||
for i, c in enumerate(choices, 1):
|
||||
print(f" {i}. {c}")
|
||||
print()
|
||||
while True:
|
||||
try:
|
||||
val = input(f"Choice [1-{len(choices)}]: ").strip()
|
||||
if not val:
|
||||
return None
|
||||
idx = int(val) - 1
|
||||
if 0 <= idx < len(choices):
|
||||
return idx
|
||||
print(f"Please enter 1-{len(choices)}")
|
||||
except ValueError:
|
||||
print("Please enter a number")
|
||||
except (KeyboardInterrupt, EOFError):
|
||||
print()
|
||||
return None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Dispatch
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def cmd_fallback(args) -> None:
|
||||
"""Top-level dispatcher for ``hermes fallback [subcommand]``."""
|
||||
sub = getattr(args, "fallback_command", None)
|
||||
if sub in (None, "", "list", "ls"):
|
||||
cmd_fallback_list(args)
|
||||
elif sub == "add":
|
||||
cmd_fallback_add(args)
|
||||
elif sub in ("remove", "rm"):
|
||||
cmd_fallback_remove(args)
|
||||
elif sub == "clear":
|
||||
cmd_fallback_clear(args)
|
||||
else:
|
||||
print(f"Unknown fallback subcommand: {sub}")
|
||||
print("Use one of: list, add, remove, clear")
|
||||
raise SystemExit(2)
|
||||
+4
-25
@@ -2724,24 +2724,6 @@ _PLATFORMS = [
|
||||
"help": "OpenID to deliver cron results and notifications to."},
|
||||
],
|
||||
},
|
||||
{
|
||||
"key": "yuanbao",
|
||||
"label": "Yuanbao",
|
||||
"emoji": "💎",
|
||||
"token_var": "YUANBAO_APP_ID",
|
||||
"setup_instructions": [
|
||||
"1. Download the Yuanbao app from https://yuanbao.tencent.com/",
|
||||
"2. In the app, go to PAI → My Bot and create a new bot",
|
||||
"3. After the bot is created, copy the App ID and App Secret",
|
||||
"4. Enter them below and Hermes will connect automatically over WebSocket",
|
||||
],
|
||||
"vars": [
|
||||
{"name": "YUANBAO_APP_ID", "prompt": "App ID", "password": False,
|
||||
"help": "The App ID from your Yuanbao IM Bot credentials."},
|
||||
{"name": "YUANBAO_APP_SECRET", "prompt": "App Secret", "password": True,
|
||||
"help": "The App Secret (used for HMAC signing) from your Yuanbao IM Bot."},
|
||||
],
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
@@ -2953,7 +2935,7 @@ def _setup_sms():
|
||||
def _setup_dingtalk():
|
||||
"""Configure DingTalk — QR scan (recommended) or manual credential entry."""
|
||||
from hermes_cli.setup import (
|
||||
prompt_choice, prompt_yes_no, print_success, print_warning,
|
||||
prompt_choice, prompt_yes_no, print_info, print_success, print_warning,
|
||||
)
|
||||
|
||||
dingtalk_platform = next(p for p in _PLATFORMS if p["key"] == "dingtalk")
|
||||
@@ -3126,12 +3108,6 @@ def _setup_wecom():
|
||||
print_success("💬 WeCom configured!")
|
||||
|
||||
|
||||
def _setup_yuanbao():
|
||||
"""Configure Yuanbao via the standard platform setup."""
|
||||
yuanbao_platform = next(p for p in _PLATFORMS if p["key"] == "yuanbao")
|
||||
_setup_standard_platform(yuanbao_platform)
|
||||
|
||||
|
||||
def _is_service_installed() -> bool:
|
||||
"""Check if the gateway is installed as a system service."""
|
||||
if supports_systemd_services():
|
||||
@@ -3504,6 +3480,7 @@ def _setup_qqbot():
|
||||
method_idx = prompt_choice(" How would you like to set up QQ Bot?", method_choices, 0)
|
||||
|
||||
credentials = None
|
||||
used_qr = False
|
||||
|
||||
if method_idx == 0:
|
||||
# ── QR scan-to-configure ──
|
||||
@@ -3514,6 +3491,8 @@ def _setup_qqbot():
|
||||
print()
|
||||
print_warning(" QQ Bot setup cancelled.")
|
||||
return
|
||||
if credentials:
|
||||
used_qr = True
|
||||
if not credentials:
|
||||
print_info(" QR setup did not complete. Continuing with manual input.")
|
||||
|
||||
|
||||
+2
-2
@@ -19,8 +19,9 @@ format) lives there.
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
|
||||
def hooks_command(args) -> None:
|
||||
@@ -124,7 +125,6 @@ _DEFAULT_PAYLOADS = {
|
||||
"task_id": "test-task",
|
||||
"tool_call_id": "test-call",
|
||||
"result": '{"output": "hello"}',
|
||||
"duration_ms": 42,
|
||||
},
|
||||
"pre_llm_call": {
|
||||
"session_id": "test-session",
|
||||
|
||||
@@ -1,333 +0,0 @@
|
||||
"""Learning ledger: read-only index of how Hermes has grown for this profile."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import time
|
||||
from dataclasses import asdict, dataclass
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from hermes_constants import get_hermes_home
|
||||
|
||||
|
||||
@dataclass
|
||||
class LedgerItem:
|
||||
type: str
|
||||
name: str
|
||||
summary: str
|
||||
source: str
|
||||
count: int = 0
|
||||
learned_from: str | None = None
|
||||
last_used_at: float | None = None
|
||||
learned_at: float | None = None
|
||||
via: str | None = None
|
||||
|
||||
|
||||
def build_learning_ledger(db: Any = None, *, limit: int = 80) -> dict[str, Any]:
|
||||
"""Build a compact, read-only ledger from existing Hermes artifacts."""
|
||||
skill_inventory = _skill_inventory()
|
||||
items = [
|
||||
*_memory_items(),
|
||||
*_tool_usage_items(db),
|
||||
*_integration_items(),
|
||||
]
|
||||
items.sort(
|
||||
key=lambda i: (i.last_used_at or i.learned_at or 0, i.type, i.name),
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
counts: dict[str, int] = {}
|
||||
for item in items:
|
||||
counts[item.type] = counts.get(item.type, 0) + 1
|
||||
|
||||
return {
|
||||
"generated_at": time.time(),
|
||||
"home": str(get_hermes_home()),
|
||||
"counts": counts,
|
||||
"items": [asdict(item) for item in items[: max(1, limit)]],
|
||||
"inventory": {"skills": skill_inventory},
|
||||
"total": len(items),
|
||||
}
|
||||
|
||||
|
||||
def _memory_items() -> list[LedgerItem]:
|
||||
try:
|
||||
from tools.memory_tool import MemoryStore, get_memory_dir
|
||||
|
||||
mem_dir = get_memory_dir()
|
||||
pairs = [
|
||||
("memory", "MEMORY.md", "agent note"),
|
||||
("user", "USER.md", "user profile"),
|
||||
]
|
||||
items: list[LedgerItem] = []
|
||||
for item_type, filename, label in pairs:
|
||||
path = mem_dir / filename
|
||||
for idx, entry in enumerate(MemoryStore._read_file(path), 1):
|
||||
items.append(
|
||||
LedgerItem(
|
||||
type=item_type,
|
||||
name=f"{label} {idx}",
|
||||
summary=_one_line(entry),
|
||||
source=str(path),
|
||||
learned_at=_mtime(path),
|
||||
)
|
||||
)
|
||||
return items
|
||||
except Exception:
|
||||
return []
|
||||
|
||||
|
||||
def _skill_inventory() -> int:
|
||||
try:
|
||||
from tools.skills_tool import _find_all_skills
|
||||
|
||||
return len(_find_all_skills())
|
||||
except Exception:
|
||||
return 0
|
||||
|
||||
|
||||
def _tool_usage_items(db: Any) -> list[LedgerItem]:
|
||||
if db is None or not getattr(db, "_conn", None):
|
||||
return []
|
||||
|
||||
usage: dict[tuple[str, str], LedgerItem] = {}
|
||||
|
||||
def bump(
|
||||
item_type: str,
|
||||
name: str,
|
||||
summary: str,
|
||||
ts: float | None,
|
||||
*,
|
||||
learned_from: str | None = None,
|
||||
via: str | None = None,
|
||||
):
|
||||
key = (item_type, name)
|
||||
item = usage.get(key)
|
||||
if not item:
|
||||
item = usage[key] = LedgerItem(
|
||||
type=item_type,
|
||||
name=name,
|
||||
summary=summary,
|
||||
source="state.db",
|
||||
learned_from=learned_from,
|
||||
via=via,
|
||||
)
|
||||
item.count += 1
|
||||
if ts and (not item.last_used_at or ts > item.last_used_at):
|
||||
item.last_used_at = ts
|
||||
item.learned_from = learned_from or item.learned_from
|
||||
item.via = via or item.via
|
||||
|
||||
try:
|
||||
with db._lock:
|
||||
rows = db._conn.execute(
|
||||
"""
|
||||
SELECT m.role, m.content, m.tool_calls, m.tool_name, m.timestamp,
|
||||
m.session_id, s.title, s.source AS session_source
|
||||
FROM messages m
|
||||
LEFT JOIN sessions s ON s.id = m.session_id
|
||||
WHERE m.tool_name IS NOT NULL OR m.tool_calls IS NOT NULL
|
||||
ORDER BY m.timestamp DESC
|
||||
LIMIT 5000
|
||||
"""
|
||||
).fetchall()
|
||||
except Exception:
|
||||
return []
|
||||
|
||||
for row in rows:
|
||||
ts = _float(row["timestamp"])
|
||||
tool_name = row["tool_name"]
|
||||
content = row["content"] or ""
|
||||
learned_from = row["title"] or row["session_source"] or row["session_id"]
|
||||
if tool_name == "memory":
|
||||
target = _json(content).get("target") or "memory"
|
||||
bump(str(target), f"{target} writes", "Durable memory updates", ts, learned_from=learned_from, via="memory")
|
||||
elif tool_name == "session_search":
|
||||
event = learning_event_from_tool(tool_name, {}, content)
|
||||
if event:
|
||||
bump("recall", event["title"], event["summary"], ts, learned_from=learned_from, via="session_search")
|
||||
elif tool_name in {"skill_view", "skill_manage"}:
|
||||
data = _json(content)
|
||||
name = str(data.get("name") or data.get("skill") or tool_name)
|
||||
bump("skill-use", name, _skill_summary(tool_name, data), ts, learned_from=learned_from, via=tool_name)
|
||||
|
||||
for call in _tool_calls(row["tool_calls"]):
|
||||
name, args = call
|
||||
if name == "session_search":
|
||||
event = learning_event_from_tool(name, args, content)
|
||||
if event:
|
||||
bump("recall", event["title"], event["summary"], ts, learned_from=learned_from, via=name)
|
||||
elif name in {"skill_view", "skill_manage"}:
|
||||
skill_name = str(
|
||||
args.get("name") or args.get("skill") or args.get("query") or name
|
||||
)
|
||||
bump("skill-use", skill_name, _skill_summary(name, args), ts, learned_from=learned_from, via=name)
|
||||
elif name == "memory":
|
||||
target = str(args.get("target") or "memory")
|
||||
bump(target, f"{target} writes", "Durable memory updates", ts, learned_from=learned_from, via=name)
|
||||
|
||||
return list(usage.values())
|
||||
|
||||
|
||||
def learning_event_from_tool(
|
||||
tool_name: str,
|
||||
args: dict[str, Any] | None = None,
|
||||
result: str | None = None,
|
||||
) -> dict[str, Any] | None:
|
||||
args = args or {}
|
||||
data = _json(result)
|
||||
|
||||
if tool_name == "memory":
|
||||
target = str(args.get("target") or data.get("target") or "memory")
|
||||
content = str(args.get("content") or "").strip()
|
||||
return {
|
||||
"type": target if target in {"memory", "user"} else "memory",
|
||||
"verb": "remembered",
|
||||
"title": _memory_title(content) if content else f"{target} updated",
|
||||
"summary": "Durable memory updated",
|
||||
"source": "memory",
|
||||
"via": "memory",
|
||||
}
|
||||
|
||||
if tool_name == "session_search":
|
||||
title = _recall_title(data) or str(args.get("query") or "").strip() or "past sessions"
|
||||
return {
|
||||
"type": "recall",
|
||||
"verb": "recalled",
|
||||
"title": _one_line(title, max_len=120),
|
||||
"summary": "Past conversations recalled",
|
||||
"source": "state.db",
|
||||
"via": "session_search",
|
||||
}
|
||||
|
||||
if tool_name in {"skill_view", "skill_manage"}:
|
||||
action = str(args.get("action") or data.get("action") or "").strip().lower()
|
||||
name = str(args.get("name") or args.get("query") or data.get("name") or "skill").strip()
|
||||
verb = "updated skill" if tool_name == "skill_manage" and action in {"create", "patch", "update", "install"} else "applied skill"
|
||||
return {
|
||||
"type": "skill-use",
|
||||
"verb": verb,
|
||||
"title": _one_line(name, max_len=120),
|
||||
"summary": _skill_summary(tool_name, {**args, **(data if isinstance(data, dict) else {})}),
|
||||
"source": "skills",
|
||||
"via": tool_name,
|
||||
}
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def _skill_summary(tool_name: str, data: dict[str, Any]) -> str:
|
||||
action = str(data.get("action") or "").strip().lower()
|
||||
if tool_name == "skill_manage" and action:
|
||||
return f"Skill {action.replace('_', ' ')}"
|
||||
if tool_name == "skill_manage":
|
||||
return "Skill managed"
|
||||
return "Skill reused"
|
||||
|
||||
|
||||
def _recall_title(data: Any) -> str:
|
||||
if not isinstance(data, dict):
|
||||
return ""
|
||||
results = data.get("results")
|
||||
if not isinstance(results, list) or not results:
|
||||
return str(data.get("query") or "").strip()
|
||||
first = results[0] if isinstance(results[0], dict) else {}
|
||||
return str(first.get("title") or first.get("preview") or data.get("query") or "").strip()
|
||||
|
||||
|
||||
def _memory_title(content: str) -> str:
|
||||
title = _one_line(content, max_len=120)
|
||||
lowered = title.lower()
|
||||
for prefix in ("the user ", "user "):
|
||||
if lowered.startswith(prefix):
|
||||
return title[len(prefix):].lstrip()
|
||||
return title
|
||||
|
||||
|
||||
def _integration_items() -> list[LedgerItem]:
|
||||
try:
|
||||
from hermes_cli.config import load_config
|
||||
|
||||
cfg = load_config()
|
||||
except Exception:
|
||||
return []
|
||||
|
||||
items: list[LedgerItem] = []
|
||||
provider = ((cfg.get("memory") or {}) if isinstance(cfg, dict) else {}).get(
|
||||
"provider"
|
||||
)
|
||||
if provider:
|
||||
items.append(
|
||||
LedgerItem(
|
||||
type="integration",
|
||||
name=f"{provider} memory provider",
|
||||
summary="External memory provider is configured",
|
||||
source="config.yaml",
|
||||
)
|
||||
)
|
||||
|
||||
for server in (
|
||||
sorted(((cfg.get("mcp") or {}).get("servers") or {}).keys())
|
||||
if isinstance(cfg, dict)
|
||||
else []
|
||||
):
|
||||
items.append(
|
||||
LedgerItem(
|
||||
type="integration",
|
||||
name=f"{server} MCP server",
|
||||
summary="MCP server is configured",
|
||||
source="config.yaml",
|
||||
)
|
||||
)
|
||||
|
||||
return items
|
||||
|
||||
|
||||
def _tool_calls(raw: str | None) -> list[tuple[str, dict[str, Any]]]:
|
||||
calls = _json(raw)
|
||||
if not isinstance(calls, list):
|
||||
return []
|
||||
|
||||
parsed = []
|
||||
for call in calls:
|
||||
if not isinstance(call, dict):
|
||||
continue
|
||||
fn = call.get("function") or {}
|
||||
name = call.get("name") or fn.get("name")
|
||||
args = fn.get("arguments") or call.get("arguments") or call.get("args") or {}
|
||||
if isinstance(args, str):
|
||||
args = _json(args)
|
||||
if name:
|
||||
parsed.append((str(name), args if isinstance(args, dict) else {}))
|
||||
return parsed
|
||||
|
||||
|
||||
def _json(raw: Any) -> Any:
|
||||
if not raw:
|
||||
return {}
|
||||
if isinstance(raw, (dict, list)):
|
||||
return raw
|
||||
try:
|
||||
return json.loads(raw)
|
||||
except Exception:
|
||||
return {}
|
||||
|
||||
|
||||
def _mtime(path: Path) -> float | None:
|
||||
try:
|
||||
return path.stat().st_mtime
|
||||
except OSError:
|
||||
return None
|
||||
|
||||
|
||||
def _float(value: Any) -> float | None:
|
||||
try:
|
||||
return float(value)
|
||||
except (TypeError, ValueError):
|
||||
return None
|
||||
|
||||
|
||||
def _one_line(text: str, *, max_len: int = 180) -> str:
|
||||
line = " ".join(str(text).split())
|
||||
return line[: max_len - 1] + "…" if len(line) > max_len else line
|
||||
+97
-1264
File diff suppressed because it is too large
Load Diff
@@ -1,329 +0,0 @@
|
||||
"""Remote model catalog fetcher.
|
||||
|
||||
The Hermes docs site hosts a JSON manifest of curated models for providers
|
||||
we want to update without shipping a release (currently OpenRouter and
|
||||
Nous Portal). This module fetches, validates, and caches that manifest,
|
||||
falling back to the in-repo hardcoded lists when the network is unavailable.
|
||||
|
||||
Pipeline
|
||||
--------
|
||||
1. ``get_catalog()`` — returns a parsed manifest dict.
|
||||
- Checks in-process cache (invalidated by TTL).
|
||||
- Reads disk cache at ``~/.hermes/cache/model_catalog.json``.
|
||||
- Fetches the master URL if disk cache is stale or missing.
|
||||
- On any fetch failure, keeps using the stale cache (or empty dict).
|
||||
|
||||
2. ``get_curated_openrouter_models()`` / ``get_curated_nous_models()`` —
|
||||
thin accessors returning the shapes existing callers expect. Each
|
||||
falls back to the in-repo hardcoded list on any lookup failure.
|
||||
|
||||
Schema (version 1)
|
||||
------------------
|
||||
::
|
||||
|
||||
{
|
||||
"version": 1,
|
||||
"updated_at": "2026-04-25T22:00:00Z",
|
||||
"metadata": {...}, # free-form
|
||||
"providers": {
|
||||
"openrouter": {
|
||||
"metadata": {...}, # free-form
|
||||
"models": [
|
||||
{"id": "vendor/model", "description": "recommended",
|
||||
"metadata": {...}} # free-form, model-level
|
||||
]
|
||||
},
|
||||
"nous": {...}
|
||||
}
|
||||
}
|
||||
|
||||
Unknown fields are ignored — extra metadata can be added at either level
|
||||
without bumping ``version``. ``version`` bumps are reserved for
|
||||
breaking changes (renaming ``providers``, changing ``models`` shape).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
import time
|
||||
import urllib.error
|
||||
import urllib.request
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from hermes_cli import __version__ as _HERMES_VERSION
|
||||
from utils import atomic_replace
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Constants
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
DEFAULT_CATALOG_URL = (
|
||||
"https://hermes-agent.nousresearch.com/docs/api/model-catalog.json"
|
||||
)
|
||||
DEFAULT_TTL_HOURS = 24
|
||||
DEFAULT_FETCH_TIMEOUT = 8.0
|
||||
SUPPORTED_SCHEMA_VERSION = 1
|
||||
|
||||
_HERMES_USER_AGENT = f"hermes-cli/{_HERMES_VERSION}"
|
||||
|
||||
# In-process cache to avoid repeated disk + parse work across multiple
|
||||
# calls within the same session. Invalidated by TTL against the disk file's
|
||||
# mtime, so calling code never has to think about this.
|
||||
_catalog_cache: dict[str, Any] | None = None
|
||||
_catalog_cache_source_mtime: float = 0.0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Config
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _load_catalog_config() -> dict[str, Any]:
|
||||
"""Load the ``model_catalog`` config block with defaults filled in."""
|
||||
try:
|
||||
from hermes_cli.config import load_config
|
||||
cfg = load_config() or {}
|
||||
except Exception:
|
||||
cfg = {}
|
||||
|
||||
raw = cfg.get("model_catalog")
|
||||
if not isinstance(raw, dict):
|
||||
raw = {}
|
||||
|
||||
return {
|
||||
"enabled": bool(raw.get("enabled", True)),
|
||||
"url": str(raw.get("url") or DEFAULT_CATALOG_URL),
|
||||
"ttl_hours": float(raw.get("ttl_hours") or DEFAULT_TTL_HOURS),
|
||||
"providers": raw.get("providers") if isinstance(raw.get("providers"), dict) else {},
|
||||
}
|
||||
|
||||
|
||||
def _cache_path() -> Path:
|
||||
"""Return the disk cache path. Import lazily so tests can monkeypatch home."""
|
||||
from hermes_constants import get_hermes_home
|
||||
return get_hermes_home() / "cache" / "model_catalog.json"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Fetch + validate + cache
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _fetch_manifest(url: str, timeout: float) -> dict[str, Any] | None:
|
||||
"""HTTP GET the manifest URL and return a parsed dict, or None on failure."""
|
||||
try:
|
||||
req = urllib.request.Request(
|
||||
url,
|
||||
headers={
|
||||
"Accept": "application/json",
|
||||
"User-Agent": _HERMES_USER_AGENT,
|
||||
},
|
||||
)
|
||||
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
||||
data = json.loads(resp.read().decode())
|
||||
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError, OSError) as exc:
|
||||
logger.info("model catalog fetch failed (%s): %s", url, exc)
|
||||
return None
|
||||
except Exception as exc: # pragma: no cover — defensive
|
||||
logger.info("model catalog fetch errored (%s): %s", url, exc)
|
||||
return None
|
||||
|
||||
if not _validate_manifest(data):
|
||||
logger.info("model catalog at %s failed schema validation", url)
|
||||
return None
|
||||
|
||||
return data
|
||||
|
||||
|
||||
def _validate_manifest(data: Any) -> bool:
|
||||
"""Return True when ``data`` matches the minimum manifest shape."""
|
||||
if not isinstance(data, dict):
|
||||
return False
|
||||
version = data.get("version")
|
||||
if not isinstance(version, int) or version > SUPPORTED_SCHEMA_VERSION:
|
||||
# Future schema version we don't understand — refuse rather than
|
||||
# guess. Older schemas (version < 1) aren't supported either.
|
||||
return False
|
||||
providers = data.get("providers")
|
||||
if not isinstance(providers, dict):
|
||||
return False
|
||||
for pname, pblock in providers.items():
|
||||
if not isinstance(pname, str) or not isinstance(pblock, dict):
|
||||
return False
|
||||
models = pblock.get("models")
|
||||
if not isinstance(models, list):
|
||||
return False
|
||||
for m in models:
|
||||
if not isinstance(m, dict):
|
||||
return False
|
||||
if not isinstance(m.get("id"), str) or not m["id"].strip():
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def _read_disk_cache() -> tuple[dict[str, Any] | None, float]:
|
||||
"""Return ``(data_or_none, mtime)``. mtime is 0 if file is missing."""
|
||||
path = _cache_path()
|
||||
try:
|
||||
mtime = path.stat().st_mtime
|
||||
except (OSError, FileNotFoundError):
|
||||
return (None, 0.0)
|
||||
try:
|
||||
with open(path) as fh:
|
||||
data = json.load(fh)
|
||||
except (OSError, json.JSONDecodeError):
|
||||
return (None, 0.0)
|
||||
if not _validate_manifest(data):
|
||||
return (None, 0.0)
|
||||
return (data, mtime)
|
||||
|
||||
|
||||
def _write_disk_cache(data: dict[str, Any]) -> None:
|
||||
path = _cache_path()
|
||||
try:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
tmp = path.with_suffix(path.suffix + ".tmp")
|
||||
with open(tmp, "w") as fh:
|
||||
json.dump(data, fh, indent=2)
|
||||
fh.write("\n")
|
||||
atomic_replace(tmp, path)
|
||||
except OSError as exc:
|
||||
logger.info("model catalog cache write failed: %s", exc)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Public API
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def get_catalog(*, force_refresh: bool = False) -> dict[str, Any]:
|
||||
"""Return the parsed model catalog manifest, or an empty dict on failure.
|
||||
|
||||
Callers should treat a missing provider/model as "use the in-repo fallback"
|
||||
— never raise from this function so the CLI keeps working offline.
|
||||
"""
|
||||
global _catalog_cache, _catalog_cache_source_mtime
|
||||
|
||||
cfg = _load_catalog_config()
|
||||
if not cfg["enabled"]:
|
||||
return {}
|
||||
|
||||
ttl_seconds = max(0.0, cfg["ttl_hours"] * 3600.0)
|
||||
|
||||
disk_data, disk_mtime = _read_disk_cache()
|
||||
now = time.time()
|
||||
disk_fresh = disk_data is not None and (now - disk_mtime) < ttl_seconds
|
||||
|
||||
# In-process cache hit: disk hasn't changed since we loaded it and still fresh.
|
||||
if (
|
||||
not force_refresh
|
||||
and _catalog_cache is not None
|
||||
and disk_data is not None
|
||||
and disk_mtime == _catalog_cache_source_mtime
|
||||
and disk_fresh
|
||||
):
|
||||
return _catalog_cache
|
||||
|
||||
# Disk is fresh enough — use it without a network hit.
|
||||
if not force_refresh and disk_fresh and disk_data is not None:
|
||||
_catalog_cache = disk_data
|
||||
_catalog_cache_source_mtime = disk_mtime
|
||||
return disk_data
|
||||
|
||||
# Need to (re)fetch. If it fails, fall back to any stale disk copy.
|
||||
fetched = _fetch_manifest(cfg["url"], DEFAULT_FETCH_TIMEOUT)
|
||||
if fetched is not None:
|
||||
_write_disk_cache(fetched)
|
||||
new_disk_data, new_mtime = _read_disk_cache()
|
||||
if new_disk_data is not None:
|
||||
_catalog_cache = new_disk_data
|
||||
_catalog_cache_source_mtime = new_mtime
|
||||
return new_disk_data
|
||||
_catalog_cache = fetched
|
||||
_catalog_cache_source_mtime = now
|
||||
return fetched
|
||||
|
||||
if disk_data is not None:
|
||||
_catalog_cache = disk_data
|
||||
_catalog_cache_source_mtime = disk_mtime
|
||||
return disk_data
|
||||
|
||||
return {}
|
||||
|
||||
|
||||
def _fetch_provider_override(provider: str) -> dict[str, Any] | None:
|
||||
"""If ``model_catalog.providers.<name>.url`` is set, fetch that instead."""
|
||||
cfg = _load_catalog_config()
|
||||
if not cfg["enabled"]:
|
||||
return None
|
||||
provider_cfg = cfg["providers"].get(provider)
|
||||
if not isinstance(provider_cfg, dict):
|
||||
return None
|
||||
override_url = provider_cfg.get("url")
|
||||
if not isinstance(override_url, str) or not override_url.strip():
|
||||
return None
|
||||
# Override fetches skip the disk cache because they're usually
|
||||
# third-party self-hosted. Re-request on every call but with a short
|
||||
# timeout so they don't block the picker.
|
||||
return _fetch_manifest(override_url.strip(), DEFAULT_FETCH_TIMEOUT)
|
||||
|
||||
|
||||
def _get_provider_block(provider: str) -> dict[str, Any] | None:
|
||||
"""Return the provider's manifest block, respecting per-provider overrides."""
|
||||
override = _fetch_provider_override(provider)
|
||||
if override is not None:
|
||||
block = override.get("providers", {}).get(provider)
|
||||
if isinstance(block, dict):
|
||||
return block
|
||||
|
||||
catalog = get_catalog()
|
||||
if not catalog:
|
||||
return None
|
||||
block = catalog.get("providers", {}).get(provider)
|
||||
return block if isinstance(block, dict) else None
|
||||
|
||||
|
||||
def get_curated_openrouter_models() -> list[tuple[str, str]] | None:
|
||||
"""Return OpenRouter's curated ``[(id, description), ...]`` from the manifest.
|
||||
|
||||
Returns ``None`` when the manifest is unavailable, so callers can fall
|
||||
back to their hardcoded list.
|
||||
"""
|
||||
block = _get_provider_block("openrouter")
|
||||
if not block:
|
||||
return None
|
||||
out: list[tuple[str, str]] = []
|
||||
for m in block.get("models", []):
|
||||
mid = str(m.get("id") or "").strip()
|
||||
if not mid:
|
||||
continue
|
||||
desc = str(m.get("description") or "")
|
||||
out.append((mid, desc))
|
||||
return out or None
|
||||
|
||||
|
||||
def get_curated_nous_models() -> list[str] | None:
|
||||
"""Return Nous Portal's curated list of model ids from the manifest.
|
||||
|
||||
Returns ``None`` when the manifest is unavailable.
|
||||
"""
|
||||
block = _get_provider_block("nous")
|
||||
if not block:
|
||||
return None
|
||||
out: list[str] = []
|
||||
for m in block.get("models", []):
|
||||
mid = str(m.get("id") or "").strip()
|
||||
if mid:
|
||||
out.append(mid)
|
||||
return out or None
|
||||
|
||||
|
||||
def reset_cache() -> None:
|
||||
"""Clear the in-process cache. Used by tests and ``hermes model --refresh``."""
|
||||
global _catalog_cache, _catalog_cache_source_mtime
|
||||
_catalog_cache = None
|
||||
_catalog_cache_source_mtime = 0.0
|
||||
+18
-159
@@ -213,15 +213,10 @@ def _load_direct_aliases() -> dict[str, DirectAlias]:
|
||||
|
||||
|
||||
def _ensure_direct_aliases() -> None:
|
||||
"""Lazy-load direct aliases on first use.
|
||||
|
||||
Mutates the existing DIRECT_ALIASES dict in place rather than rebinding
|
||||
the module attribute. This keeps `from hermes_cli.model_switch import
|
||||
DIRECT_ALIASES` references valid in callers — rebinding would leave them
|
||||
pointing at a stale empty dict.
|
||||
"""
|
||||
"""Lazy-load direct aliases on first use."""
|
||||
global DIRECT_ALIASES
|
||||
if not DIRECT_ALIASES:
|
||||
DIRECT_ALIASES.update(_load_direct_aliases())
|
||||
DIRECT_ALIASES = _load_direct_aliases()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -532,49 +527,6 @@ def _resolve_alias_fallback(
|
||||
return None
|
||||
|
||||
|
||||
def resolve_display_context_length(
|
||||
model: str,
|
||||
provider: str,
|
||||
base_url: str = "",
|
||||
api_key: str = "",
|
||||
model_info: Optional[ModelInfo] = None,
|
||||
custom_providers: list | None = None,
|
||||
) -> Optional[int]:
|
||||
"""Resolve the context length to show in /model output.
|
||||
|
||||
models.dev reports per-vendor context (e.g. gpt-5.5 = 1.05M on openai)
|
||||
but provider-enforced limits can be lower (e.g. Codex OAuth caps the
|
||||
same slug at 272k). The authoritative source is
|
||||
``agent.model_metadata.get_model_context_length`` which already knows
|
||||
about Codex OAuth, Copilot, Nous, and falls back to models.dev for the
|
||||
rest.
|
||||
|
||||
When ``custom_providers`` is provided, per-model ``context_length``
|
||||
overrides from ``custom_providers[].models.<id>.context_length`` are
|
||||
honored — this closes #15779 where ``/model`` switch ignored user-set
|
||||
overrides.
|
||||
|
||||
Prefer the provider-aware value; fall back to ``model_info.context_window``
|
||||
only if the resolver returns nothing.
|
||||
"""
|
||||
try:
|
||||
from agent.model_metadata import get_model_context_length
|
||||
ctx = get_model_context_length(
|
||||
model,
|
||||
base_url=base_url or "",
|
||||
api_key=api_key or "",
|
||||
provider=provider or None,
|
||||
custom_providers=custom_providers,
|
||||
)
|
||||
if ctx:
|
||||
return int(ctx)
|
||||
except Exception:
|
||||
pass
|
||||
if model_info is not None and model_info.context_window:
|
||||
return int(model_info.context_window)
|
||||
return None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Core model-switching pipeline
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -843,14 +795,9 @@ def switch_model(
|
||||
requested=current_provider,
|
||||
target_model=new_model,
|
||||
)
|
||||
# If resolution fell through to "custom" (e.g. named custom provider like
|
||||
# "ollama-launch" that resolve_runtime_provider doesn't know), keep existing
|
||||
# credentials. Otherwise use the resolved values (picks up credential rotation,
|
||||
# base_url adjustments for OpenCode, etc.).
|
||||
if runtime.get("provider") != "custom":
|
||||
api_key = runtime.get("api_key", "")
|
||||
base_url = runtime.get("base_url", "")
|
||||
api_mode = runtime.get("api_mode", "")
|
||||
api_key = runtime.get("api_key", "")
|
||||
base_url = runtime.get("base_url", "")
|
||||
api_mode = runtime.get("api_mode", "")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
@@ -884,31 +831,16 @@ def switch_model(
|
||||
"message": f"Could not validate `{new_model}`: {e}",
|
||||
}
|
||||
|
||||
# Override rejection if model is in the user's saved provider config.
|
||||
# API /v1/models may not list cloud/aliased models even though the server supports them.
|
||||
if not validation.get("accepted"):
|
||||
override = False
|
||||
if user_providers:
|
||||
for up in user_providers:
|
||||
if isinstance(up, dict) and up.get("provider") == target_provider:
|
||||
cfg_models = up.get("models", [])
|
||||
if new_model in cfg_models or any(
|
||||
m.get("name") == new_model for m in cfg_models if isinstance(m, dict)
|
||||
):
|
||||
override = True
|
||||
break
|
||||
if override:
|
||||
validation = {"accepted": True, "persist": True, "recognized": False, "message": validation.get("message", "")}
|
||||
else:
|
||||
msg = validation.get("message", "Invalid model")
|
||||
return ModelSwitchResult(
|
||||
success=False,
|
||||
new_model=new_model,
|
||||
target_provider=target_provider,
|
||||
provider_label=provider_label,
|
||||
is_global=is_global,
|
||||
error_message=msg,
|
||||
)
|
||||
msg = validation.get("message", "Invalid model")
|
||||
return ModelSwitchResult(
|
||||
success=False,
|
||||
new_model=new_model,
|
||||
target_provider=target_provider,
|
||||
provider_label=provider_label,
|
||||
is_global=is_global,
|
||||
error_message=msg,
|
||||
)
|
||||
|
||||
# Apply auto-correction if validation found a closer match
|
||||
if validation.get("corrected_model"):
|
||||
@@ -984,7 +916,6 @@ def list_authenticated_providers(
|
||||
user_providers: dict = None,
|
||||
custom_providers: list | None = None,
|
||||
max_models: int = 8,
|
||||
current_model: str = "",
|
||||
) -> List[dict]:
|
||||
"""Detect which providers have credentials and list their curated models.
|
||||
|
||||
@@ -1031,34 +962,6 @@ def list_authenticated_providers(
|
||||
if "ollama-cloud" not in curated:
|
||||
from hermes_cli.models import fetch_ollama_cloud_models
|
||||
curated["ollama-cloud"] = fetch_ollama_cloud_models()
|
||||
# LM Studio has no static catalog — probe its native /api/v1/models
|
||||
# endpoint live so the picker reflects whatever the user has loaded.
|
||||
# Base URL precedence: LM_BASE_URL env var > active config's base_url
|
||||
# (when current provider is lmstudio) > 127.0.0.1 default.
|
||||
# On auth rejection or unreachable server, fall back to the caller-supplied
|
||||
# current model so the picker still shows something when offline / mis-keyed.
|
||||
if "lmstudio" not in curated and (
|
||||
os.environ.get("LM_API_KEY") or os.environ.get("LM_BASE_URL") or current_provider.strip().lower() == "lmstudio"
|
||||
):
|
||||
from hermes_cli.models import fetch_lmstudio_models
|
||||
from hermes_cli.auth import AuthError
|
||||
is_current_lmstudio = current_provider.strip().lower() == "lmstudio"
|
||||
lm_base = (
|
||||
os.environ.get("LM_BASE_URL")
|
||||
or (current_base_url if is_current_lmstudio and current_base_url else None)
|
||||
or "http://127.0.0.1:1234/v1"
|
||||
)
|
||||
try:
|
||||
live = fetch_lmstudio_models(
|
||||
api_key=os.environ.get("LM_API_KEY", ""),
|
||||
base_url=lm_base,
|
||||
timeout=1.5, # Smaller timeout for picker
|
||||
)
|
||||
except AuthError:
|
||||
live = []
|
||||
if not live and is_current_lmstudio and current_model:
|
||||
live = [current_model]
|
||||
curated["lmstudio"] = live
|
||||
|
||||
# --- 1. Check Hermes-mapped providers ---
|
||||
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
|
||||
@@ -1209,15 +1112,6 @@ def list_authenticated_providers(
|
||||
|
||||
if hermes_slug in {"copilot", "copilot-acp"}:
|
||||
model_ids = provider_model_ids(hermes_slug)
|
||||
# For aws_sdk providers (bedrock), use live discovery so the list
|
||||
# reflects the active region (eu.*, ap.*) not the static us.* list.
|
||||
elif overlay.auth_type == "aws_sdk":
|
||||
try:
|
||||
from agent.bedrock_adapter import bedrock_model_ids_or_none
|
||||
_ids = bedrock_model_ids_or_none()
|
||||
model_ids = _ids if _ids is not None else (curated.get(hermes_slug, []) or curated.get(pid, []))
|
||||
except Exception:
|
||||
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
|
||||
else:
|
||||
# Use curated list — look up by Hermes slug, fall back to overlay key
|
||||
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
|
||||
@@ -1280,30 +1174,10 @@ def list_authenticated_providers(
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# Special case: aws_sdk auth (bedrock) — no API key env vars,
|
||||
# credentials come from the boto3 credential chain (env vars,
|
||||
# ~/.aws/credentials, instance roles, etc.)
|
||||
if not _cp_has_creds and _cp_config and getattr(_cp_config, "auth_type", "") == "aws_sdk":
|
||||
try:
|
||||
from agent.bedrock_adapter import has_aws_credentials
|
||||
_cp_has_creds = has_aws_credentials()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
if not _cp_has_creds:
|
||||
continue
|
||||
|
||||
# For bedrock, use live discovery so the list reflects the active
|
||||
# region (eu.*, us.*, ap.*) instead of the hardcoded us.* static list.
|
||||
if _cp_config and getattr(_cp_config, "auth_type", "") == "aws_sdk":
|
||||
try:
|
||||
from agent.bedrock_adapter import bedrock_model_ids_or_none
|
||||
_ids = bedrock_model_ids_or_none()
|
||||
_cp_model_ids = _ids if _ids is not None else curated.get(_cp.slug, [])
|
||||
except Exception:
|
||||
_cp_model_ids = curated.get(_cp.slug, [])
|
||||
else:
|
||||
_cp_model_ids = curated.get(_cp.slug, [])
|
||||
_cp_model_ids = curated.get(_cp.slug, [])
|
||||
_cp_total = len(_cp_model_ids)
|
||||
_cp_top = _cp_model_ids[:max_models]
|
||||
|
||||
@@ -1375,23 +1249,8 @@ def list_authenticated_providers(
|
||||
if fb:
|
||||
models_list = list(fb)
|
||||
|
||||
# Prefer the endpoint's live /models list when credentials are
|
||||
# available. This keeps OpenAI-compatible relays (for example CRS)
|
||||
# in sync when the server catalog changes without requiring the
|
||||
# user to mirror every model into config.yaml.
|
||||
api_key = str(ep_cfg.get("api_key", "") or "").strip()
|
||||
if not api_key:
|
||||
key_env = str(ep_cfg.get("key_env", "") or "").strip()
|
||||
api_key = os.environ.get(key_env, "").strip() if key_env else ""
|
||||
if api_url and api_key:
|
||||
try:
|
||||
from hermes_cli.models import fetch_api_models
|
||||
live_models = fetch_api_models(api_key, api_url)
|
||||
if live_models:
|
||||
models_list = live_models
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# Try to probe /v1/models if URL is set (but don't block on it)
|
||||
# For now just show what we know from config
|
||||
results.append({
|
||||
"slug": ep_name,
|
||||
"name": display_name,
|
||||
|
||||
+122
-645
@@ -33,6 +33,8 @@ COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
|
||||
# (model_id, display description shown in menus)
|
||||
OPENROUTER_MODELS: list[tuple[str, str]] = [
|
||||
("moonshotai/kimi-k2.6", "recommended"),
|
||||
("deepseek/deepseek-v4-pro", ""),
|
||||
("deepseek/deepseek-v4-flash", ""),
|
||||
("anthropic/claude-opus-4.7", ""),
|
||||
("anthropic/claude-opus-4.6", ""),
|
||||
("anthropic/claude-sonnet-4.6", ""),
|
||||
@@ -40,11 +42,10 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
|
||||
("anthropic/claude-sonnet-4.5", ""),
|
||||
("anthropic/claude-haiku-4.5", ""),
|
||||
("openrouter/elephant-alpha", "free"),
|
||||
("openai/gpt-5.5", ""),
|
||||
("openai/gpt-5.4", ""),
|
||||
("openai/gpt-5.4-mini", ""),
|
||||
("xiaomi/mimo-v2.5-pro", ""),
|
||||
("xiaomi/mimo-v2.5", ""),
|
||||
("tencent/hy3-preview:free", "free"),
|
||||
("openai/gpt-5.3-codex", ""),
|
||||
("google/gemini-3-pro-image-preview", ""),
|
||||
("google/gemini-3-flash-preview", ""),
|
||||
@@ -64,7 +65,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
|
||||
("nvidia/nemotron-3-super-120b-a12b:free", "free"),
|
||||
("arcee-ai/trinity-large-preview:free", "free"),
|
||||
("arcee-ai/trinity-large-thinking", ""),
|
||||
("openai/gpt-5.5-pro", ""),
|
||||
("openai/gpt-5.4-pro", ""),
|
||||
("openai/gpt-5.4-nano", ""),
|
||||
]
|
||||
|
||||
@@ -107,63 +108,19 @@ def _codex_curated_models() -> list[str]:
|
||||
return _add_forward_compat_models(list(DEFAULT_CODEX_MODELS))
|
||||
|
||||
|
||||
# Static fallback for xAI when the models.dev disk cache is empty (fresh
|
||||
# install, offline first run, etc.). Mirrors the xAI-direct model IDs from
|
||||
# $HERMES_HOME/models_dev_cache.json as of 2026-04-28. Whenever xAI renames
|
||||
# or retires a model, the disk cache picks it up on the next refresh and the
|
||||
# fallback here only matters until that refresh lands.
|
||||
_XAI_STATIC_FALLBACK: list[str] = [
|
||||
"grok-4.20-0309-reasoning",
|
||||
"grok-4.20-0309-non-reasoning",
|
||||
"grok-4.20-multi-agent-0309",
|
||||
"grok-4-1-fast",
|
||||
"grok-4-1-fast-non-reasoning",
|
||||
"grok-4-fast",
|
||||
"grok-4-fast-non-reasoning",
|
||||
"grok-4",
|
||||
"grok-code-fast-1",
|
||||
]
|
||||
|
||||
|
||||
def _xai_curated_models() -> list[str]:
|
||||
"""Derive the xAI-direct curated list from models.dev disk cache.
|
||||
|
||||
Reads $HERMES_HOME/models_dev_cache.json directly (no network) so this
|
||||
runs at import time without blocking. Falls back to ``_XAI_STATIC_FALLBACK``
|
||||
when the cache is empty or unreadable. Hermes refreshes the cache from
|
||||
https://models.dev/api.json on normal use, so this list self-heals as
|
||||
xAI renames models.
|
||||
|
||||
Mirrors ``_codex_curated_models()``'s role for openai-codex.
|
||||
"""
|
||||
try:
|
||||
from agent.models_dev import _load_disk_cache
|
||||
data = _load_disk_cache()
|
||||
xai = data.get("xai") if isinstance(data, dict) else None
|
||||
models = xai.get("models") if isinstance(xai, dict) else None
|
||||
if isinstance(models, dict) and models:
|
||||
ids = [mid for mid in models.keys() if isinstance(mid, str)]
|
||||
if ids:
|
||||
return sorted(ids)
|
||||
except Exception:
|
||||
# Any failure (missing file, malformed JSON, import error)
|
||||
# falls through to the static list.
|
||||
pass
|
||||
return list(_XAI_STATIC_FALLBACK)
|
||||
|
||||
|
||||
_PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
"nous": [
|
||||
"moonshotai/kimi-k2.6",
|
||||
"deepseek/deepseek-v4-pro",
|
||||
"deepseek/deepseek-v4-flash",
|
||||
"xiaomi/mimo-v2.5-pro",
|
||||
"xiaomi/mimo-v2.5",
|
||||
"tencent/hy3-preview",
|
||||
"anthropic/claude-opus-4.7",
|
||||
"anthropic/claude-opus-4.6",
|
||||
"anthropic/claude-sonnet-4.6",
|
||||
"anthropic/claude-sonnet-4.5",
|
||||
"anthropic/claude-haiku-4.5",
|
||||
"openai/gpt-5.5",
|
||||
"openai/gpt-5.4",
|
||||
"openai/gpt-5.4-mini",
|
||||
"openai/gpt-5.3-codex",
|
||||
"google/gemini-3-pro-preview",
|
||||
@@ -182,7 +139,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
"x-ai/grok-4.20-beta",
|
||||
"nvidia/nemotron-3-super-120b-a12b",
|
||||
"arcee-ai/trinity-large-thinking",
|
||||
"openai/gpt-5.5-pro",
|
||||
"openai/gpt-5.4-pro",
|
||||
"openai/gpt-5.4-nano",
|
||||
],
|
||||
# Native OpenAI Chat Completions (api.openai.com). Used by /model counts and
|
||||
@@ -240,7 +197,10 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
"glm-4.5",
|
||||
"glm-4.5-flash",
|
||||
],
|
||||
"xai": _xai_curated_models(),
|
||||
"xai": [
|
||||
"grok-4.20-reasoning",
|
||||
"grok-4-1-fast-reasoning",
|
||||
],
|
||||
"nvidia": [
|
||||
# NVIDIA flagship reasoning models
|
||||
"nvidia/nemotron-3-super-120b-a12b",
|
||||
@@ -317,22 +277,11 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
"mimo-v2-omni",
|
||||
"mimo-v2-flash",
|
||||
],
|
||||
"tencent-tokenhub": [
|
||||
"hy3-preview",
|
||||
],
|
||||
"arcee": [
|
||||
"trinity-large-thinking",
|
||||
"trinity-large-preview",
|
||||
"trinity-mini",
|
||||
],
|
||||
"gmi": [
|
||||
"zai-org/GLM-5.1-FP8",
|
||||
"deepseek-ai/DeepSeek-V3.2",
|
||||
"moonshotai/Kimi-K2.5",
|
||||
"google/gemini-3.1-flash-lite-preview",
|
||||
"anthropic/claude-sonnet-4.6",
|
||||
"openai/gpt-5.4",
|
||||
],
|
||||
"opencode-zen": [
|
||||
"kimi-k2.5",
|
||||
"gpt-5.4-pro",
|
||||
@@ -397,7 +346,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
# to https://dashscope-intl.aliyuncs.com/compatible-mode/v1 (OpenAI-compat)
|
||||
# or https://dashscope-intl.aliyuncs.com/apps/anthropic (Anthropic-compat).
|
||||
"alibaba": [
|
||||
"qwen3.6-plus",
|
||||
"kimi-k2.5",
|
||||
"qwen3.5-plus",
|
||||
"qwen3-coder-plus",
|
||||
@@ -435,9 +383,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
|
||||
"us.meta.llama4-maverick-17b-instruct-v1:0",
|
||||
"us.meta.llama4-scout-17b-instruct-v1:0",
|
||||
],
|
||||
# Azure Foundry: user-provided endpoint and model.
|
||||
# Empty list because models depend on the endpoint configuration.
|
||||
"azure-foundry": [],
|
||||
}
|
||||
|
||||
# Vercel AI Gateway: derive the bare-model-id catalog from the curated
|
||||
@@ -765,15 +710,14 @@ class ProviderEntry(NamedTuple):
|
||||
label: str
|
||||
tui_desc: str # detailed description for `hermes model` TUI
|
||||
|
||||
|
||||
CANONICAL_PROVIDERS: list[ProviderEntry] = [
|
||||
ProviderEntry("nous", "Nous Portal", "Nous Portal (Nous Research subscription)"),
|
||||
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
|
||||
ProviderEntry("lmstudio", "LM Studio", "LM Studio (local desktop app with built-in model server)"),
|
||||
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, $5 free credit, no markup)"),
|
||||
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
|
||||
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
|
||||
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2.5 and V2 models — pro, omni, flash)"),
|
||||
ProviderEntry("tencent-tokenhub", "Tencent TokenHub", "Tencent TokenHub (Hy3 Preview — direct API via tokenhub.tencentmaas.com)"),
|
||||
ProviderEntry("nvidia", "NVIDIA NIM", "NVIDIA NIM (Nemotron models — build.nvidia.com or local NIM)"),
|
||||
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
|
||||
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
|
||||
@@ -792,12 +736,10 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
|
||||
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
|
||||
ProviderEntry("ollama-cloud", "Ollama Cloud", "Ollama Cloud (cloud-hosted open models — ollama.com)"),
|
||||
ProviderEntry("arcee", "Arcee AI", "Arcee AI (Trinity models — direct API)"),
|
||||
ProviderEntry("gmi", "GMI Cloud", "GMI Cloud (multi-model direct API)"),
|
||||
ProviderEntry("kilocode", "Kilo Code", "Kilo Code (Kilo Gateway API)"),
|
||||
ProviderEntry("opencode-zen", "OpenCode Zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
|
||||
ProviderEntry("opencode-go", "OpenCode Go", "OpenCode Go (open models, $10/month subscription)"),
|
||||
ProviderEntry("bedrock", "AWS Bedrock", "AWS Bedrock (Claude, Nova, Llama, DeepSeek — IAM or API key)"),
|
||||
ProviderEntry("azure-foundry", "Azure Foundry", "Azure Foundry (OpenAI-style or Anthropic-style endpoint — your Azure AI deployment)"),
|
||||
]
|
||||
|
||||
# Derived dicts — used throughout the codebase
|
||||
@@ -827,8 +769,6 @@ _PROVIDER_ALIASES = {
|
||||
"stepfun-coding-plan": "stepfun",
|
||||
"arcee-ai": "arcee",
|
||||
"arceeai": "arcee",
|
||||
"gmi-cloud": "gmi",
|
||||
"gmicloud": "gmi",
|
||||
"minimax-china": "minimax-cn",
|
||||
"minimax_cn": "minimax-cn",
|
||||
"claude": "anthropic",
|
||||
@@ -856,10 +796,6 @@ _PROVIDER_ALIASES = {
|
||||
"huggingface-hub": "huggingface",
|
||||
"mimo": "xiaomi",
|
||||
"xiaomi-mimo": "xiaomi",
|
||||
"tencent": "tencent-tokenhub",
|
||||
"tokenhub": "tencent-tokenhub",
|
||||
"tencent-cloud": "tencent-tokenhub",
|
||||
"tencentmaas": "tencent-tokenhub",
|
||||
"aws": "bedrock",
|
||||
"aws-bedrock": "bedrock",
|
||||
"amazon-bedrock": "bedrock",
|
||||
@@ -871,9 +807,6 @@ _PROVIDER_ALIASES = {
|
||||
"nvidia-nim": "nvidia",
|
||||
"build-nvidia": "nvidia",
|
||||
"nemotron": "nvidia",
|
||||
"lmstudio": "lmstudio",
|
||||
"lm-studio": "lmstudio",
|
||||
"lm_studio": "lmstudio",
|
||||
"ollama": "custom", # bare "ollama" = local; use "ollama-cloud" for cloud
|
||||
"ollama_cloud": "ollama-cloud",
|
||||
}
|
||||
@@ -939,16 +872,7 @@ def fetch_openrouter_models(
|
||||
if _openrouter_catalog_cache is not None and not force_refresh:
|
||||
return list(_openrouter_catalog_cache)
|
||||
|
||||
# Prefer the remotely-hosted catalog manifest; fall back to the in-repo
|
||||
# snapshot when the manifest is unreachable. Both are curated lists that
|
||||
# drive the picker; the OpenRouter live /v1/models filter (tool support,
|
||||
# free pricing) is applied on top either way.
|
||||
try:
|
||||
from hermes_cli.model_catalog import get_curated_openrouter_models
|
||||
remote = get_curated_openrouter_models()
|
||||
except Exception:
|
||||
remote = None
|
||||
fallback = list(remote) if remote else list(OPENROUTER_MODELS)
|
||||
fallback = list(OPENROUTER_MODELS)
|
||||
preferred_ids = [mid for mid, _ in fallback]
|
||||
|
||||
try:
|
||||
@@ -1001,24 +925,6 @@ def model_ids(*, force_refresh: bool = False) -> list[str]:
|
||||
return [mid for mid, _ in fetch_openrouter_models(force_refresh=force_refresh)]
|
||||
|
||||
|
||||
def get_curated_nous_model_ids() -> list[str]:
|
||||
"""Return the curated Nous Portal model-id list.
|
||||
|
||||
Prefers the remotely-hosted catalog manifest (published under
|
||||
``website/static/api/model-catalog.json``); falls back to the in-repo
|
||||
snapshot in ``_PROVIDER_MODELS["nous"]`` when the manifest is
|
||||
unreachable. Always returns a list (never None).
|
||||
"""
|
||||
try:
|
||||
from hermes_cli.model_catalog import get_curated_nous_models
|
||||
remote = get_curated_nous_models()
|
||||
except Exception:
|
||||
remote = None
|
||||
if remote:
|
||||
return list(remote)
|
||||
return list(_PROVIDER_MODELS.get("nous", []))
|
||||
|
||||
|
||||
def _ai_gateway_model_is_free(pricing: Any) -> bool:
|
||||
"""Return True if an AI Gateway model has $0 input AND output pricing."""
|
||||
if not isinstance(pricing, dict):
|
||||
@@ -1473,124 +1379,6 @@ def curated_models_for_provider(
|
||||
return [(m, "") for m in models]
|
||||
|
||||
|
||||
def _provider_keys(provider: str) -> set[str]:
|
||||
key = (provider or "").strip().lower()
|
||||
normalized = normalize_provider(provider)
|
||||
return {k for k in (key, normalized) if k}
|
||||
|
||||
|
||||
def _model_in_provider_catalog(name_lower: str, providers: set[str]) -> bool:
|
||||
return any(
|
||||
name_lower == model.lower()
|
||||
for provider in providers
|
||||
for model in _PROVIDER_MODELS.get(provider, [])
|
||||
)
|
||||
|
||||
|
||||
_AGGREGATOR_PROVIDERS = frozenset(
|
||||
{"nous", "openrouter", "ai-gateway", "copilot", "kilocode"}
|
||||
)
|
||||
|
||||
|
||||
def _resolve_static_model_alias(
|
||||
name_lower: str,
|
||||
current_keys: set[str],
|
||||
) -> Optional[tuple[str, str]]:
|
||||
"""Resolve short aliases (e.g. sonnet/opus) using static catalogs only."""
|
||||
try:
|
||||
from hermes_cli.model_switch import MODEL_ALIASES
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
identity = MODEL_ALIASES.get(name_lower)
|
||||
if identity is None:
|
||||
return None
|
||||
|
||||
vendor = identity.vendor
|
||||
family = identity.family
|
||||
|
||||
def _match(provider: str) -> Optional[str]:
|
||||
models = _PROVIDER_MODELS.get(provider, [])
|
||||
if not models:
|
||||
return None
|
||||
prefix = (
|
||||
f"{vendor}/{family}"
|
||||
if provider in _AGGREGATOR_PROVIDERS
|
||||
else family
|
||||
).lower()
|
||||
for model in models:
|
||||
if model.lower().startswith(prefix):
|
||||
return model
|
||||
return None
|
||||
|
||||
for provider in current_keys:
|
||||
if matched := _match(provider):
|
||||
return provider, matched
|
||||
|
||||
for provider in _PROVIDER_MODELS:
|
||||
if provider in current_keys or provider in _AGGREGATOR_PROVIDERS:
|
||||
continue
|
||||
if matched := _match(provider):
|
||||
return provider, matched
|
||||
|
||||
for provider in _AGGREGATOR_PROVIDERS:
|
||||
if provider in current_keys and (matched := _match(provider)):
|
||||
return provider, matched
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def detect_static_provider_for_model(
|
||||
model_name: str,
|
||||
current_provider: str,
|
||||
) -> Optional[tuple[str, str]]:
|
||||
"""Auto-detect a provider from static catalogs only.
|
||||
|
||||
Returns ``(provider_id, model_name)``. The model name may be remapped
|
||||
when a static alias or bare provider name resolves to a catalog default.
|
||||
Returns ``None`` when no confident match is found.
|
||||
"""
|
||||
name = (model_name or "").strip()
|
||||
if not name:
|
||||
return None
|
||||
|
||||
name_lower = name.lower()
|
||||
current_keys = _provider_keys(current_provider)
|
||||
|
||||
alias_match = _resolve_static_model_alias(name_lower, current_keys)
|
||||
if alias_match:
|
||||
return alias_match
|
||||
|
||||
# --- Step 0: bare provider name typed as model ---
|
||||
# If someone types `/model nous` or `/model anthropic`, treat it as a
|
||||
# provider switch and pick the first model from that provider's catalog.
|
||||
# Skip "custom" and "openrouter" — custom has no model catalog, and
|
||||
# openrouter requires an explicit model name to be useful.
|
||||
resolved_provider = _PROVIDER_ALIASES.get(name_lower, name_lower)
|
||||
if resolved_provider not in {"custom", "openrouter"}:
|
||||
default_models = _PROVIDER_MODELS.get(resolved_provider, [])
|
||||
if (
|
||||
resolved_provider in _PROVIDER_LABELS
|
||||
and default_models
|
||||
and resolved_provider not in current_keys
|
||||
):
|
||||
return (resolved_provider, default_models[0])
|
||||
|
||||
# Aggregators list other providers' models — never auto-switch TO them
|
||||
# If the model belongs to the current provider's catalog, don't suggest switching
|
||||
if _model_in_provider_catalog(name_lower, current_keys):
|
||||
return None
|
||||
|
||||
# --- Step 1: check static provider catalogs for a direct match ---
|
||||
for pid, models in _PROVIDER_MODELS.items():
|
||||
if pid in current_keys or pid in _AGGREGATOR_PROVIDERS:
|
||||
continue
|
||||
if any(name_lower == m.lower() for m in models):
|
||||
return (pid, name)
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def detect_provider_for_model(
|
||||
model_name: str,
|
||||
current_provider: str,
|
||||
@@ -1603,19 +1391,86 @@ def detect_provider_for_model(
|
||||
|
||||
Priority:
|
||||
0. Bare provider name → switch to that provider's default model
|
||||
1. Direct provider static catalog match
|
||||
2. OpenRouter catalog match
|
||||
1. Direct provider with credentials (highest)
|
||||
2. Direct provider without credentials → remap to OpenRouter slug
|
||||
3. OpenRouter catalog match
|
||||
"""
|
||||
name = (model_name or "").strip()
|
||||
if not name:
|
||||
return None
|
||||
|
||||
static_match = detect_static_provider_for_model(name, current_provider)
|
||||
if static_match:
|
||||
return static_match
|
||||
if _model_in_provider_catalog(name.lower(), _provider_keys(current_provider)):
|
||||
name_lower = name.lower()
|
||||
|
||||
# --- Step 0: bare provider name typed as model ---
|
||||
# If someone types `/model nous` or `/model anthropic`, treat it as a
|
||||
# provider switch and pick the first model from that provider's catalog.
|
||||
# Skip "custom" and "openrouter" — custom has no model catalog, and
|
||||
# openrouter requires an explicit model name to be useful.
|
||||
resolved_provider = _PROVIDER_ALIASES.get(name_lower, name_lower)
|
||||
if resolved_provider not in {"custom", "openrouter"}:
|
||||
default_models = _PROVIDER_MODELS.get(resolved_provider, [])
|
||||
if (
|
||||
resolved_provider in _PROVIDER_LABELS
|
||||
and default_models
|
||||
and resolved_provider != normalize_provider(current_provider)
|
||||
):
|
||||
return (resolved_provider, default_models[0])
|
||||
|
||||
# Aggregators list other providers' models — never auto-switch TO them
|
||||
_AGGREGATORS = {"nous", "openrouter", "ai-gateway", "copilot", "kilocode"}
|
||||
|
||||
# If the model belongs to the current provider's catalog, don't suggest switching
|
||||
current_models = _PROVIDER_MODELS.get(current_provider, [])
|
||||
if any(name_lower == m.lower() for m in current_models):
|
||||
return None
|
||||
|
||||
# --- Step 1: check static provider catalogs for a direct match ---
|
||||
direct_match: Optional[str] = None
|
||||
for pid, models in _PROVIDER_MODELS.items():
|
||||
if pid == current_provider or pid in _AGGREGATORS:
|
||||
continue
|
||||
if any(name_lower == m.lower() for m in models):
|
||||
direct_match = pid
|
||||
break
|
||||
|
||||
if direct_match:
|
||||
# Check if we have credentials for this provider — env vars,
|
||||
# credential pool, or auth store entries.
|
||||
has_creds = False
|
||||
try:
|
||||
from hermes_cli.auth import PROVIDER_REGISTRY
|
||||
pconfig = PROVIDER_REGISTRY.get(direct_match)
|
||||
if pconfig:
|
||||
for env_var in pconfig.api_key_env_vars:
|
||||
if os.getenv(env_var, "").strip():
|
||||
has_creds = True
|
||||
break
|
||||
except Exception:
|
||||
pass
|
||||
# Also check credential pool and auth store — covers OAuth,
|
||||
# Claude Code tokens, and other non-env-var credentials (#10300).
|
||||
if not has_creds:
|
||||
try:
|
||||
from agent.credential_pool import load_pool
|
||||
pool = load_pool(direct_match)
|
||||
if pool.has_credentials():
|
||||
has_creds = True
|
||||
except Exception:
|
||||
pass
|
||||
if not has_creds:
|
||||
try:
|
||||
from hermes_cli.auth import _load_auth_store
|
||||
store = _load_auth_store()
|
||||
if direct_match in store.get("providers", {}) or direct_match in store.get("credential_pool", {}):
|
||||
has_creds = True
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# Always return the direct provider match. If credentials are
|
||||
# missing, the client init will give a clear error rather than
|
||||
# silently routing through the wrong provider (#10300).
|
||||
return (direct_match, name)
|
||||
|
||||
# --- Step 2: check OpenRouter catalog ---
|
||||
# First try exact match (handles provider/model format)
|
||||
or_slug = _find_openrouter_slug(name)
|
||||
@@ -1680,41 +1535,31 @@ def provider_label(provider: Optional[str]) -> str:
|
||||
|
||||
# Models that support OpenAI Priority Processing (service_tier="priority").
|
||||
# See https://openai.com/api-priority-processing/ for the canonical list.
|
||||
#
|
||||
# Pattern-based matching — any OpenAI flagship model (gpt-*, o1*, o3*, o4*)
|
||||
# is assumed to support Priority Processing. service_tier=priority is silently
|
||||
# ignored by non-OpenAI endpoints (OpenRouter/Copilot/opencode-zen proxies
|
||||
# strip the field), so false positives are harmless. Codex-series models
|
||||
# (gpt-5-codex, gpt-5.3-codex, etc.) are excluded — they don't expose the
|
||||
# service_tier parameter through the Codex Responses API.
|
||||
_OPENAI_FAST_MODE_PREFIXES: tuple[str, ...] = (
|
||||
"gpt-",
|
||||
"o1",
|
||||
# Only the bare model slug is stored (no vendor prefix).
|
||||
_PRIORITY_PROCESSING_MODELS: frozenset[str] = frozenset({
|
||||
"gpt-5.4",
|
||||
"gpt-5.4-mini",
|
||||
"gpt-5.2",
|
||||
"gpt-5.1",
|
||||
"gpt-5",
|
||||
"gpt-5-mini",
|
||||
"gpt-4.1",
|
||||
"gpt-4.1-mini",
|
||||
"gpt-4.1-nano",
|
||||
"gpt-4o",
|
||||
"gpt-4o-mini",
|
||||
"o3",
|
||||
"o4",
|
||||
)
|
||||
|
||||
|
||||
def _is_openai_fast_model(model_id: Optional[str]) -> bool:
|
||||
"""Return True if the model is an OpenAI flagship eligible for Priority Processing."""
|
||||
raw = _strip_vendor_prefix(str(model_id or ""))
|
||||
base = raw.split(":")[0]
|
||||
if not base:
|
||||
return False
|
||||
# Exclude Codex-series — they route through the Codex Responses API
|
||||
# which doesn't accept service_tier.
|
||||
if "codex" in base:
|
||||
return False
|
||||
return any(base.startswith(prefix) for prefix in _OPENAI_FAST_MODE_PREFIXES)
|
||||
|
||||
"o4-mini",
|
||||
})
|
||||
|
||||
# Models that support Anthropic Fast Mode (speed="fast").
|
||||
# See https://platform.claude.com/docs/en/build-with-claude/fast-mode
|
||||
#
|
||||
# Pattern-based matching — any claude-* model is eligible. The anthropic
|
||||
# adapter gates speed=fast on native Anthropic endpoints only (see
|
||||
# _is_third_party_anthropic_endpoint in agent/anthropic_adapter.py), so
|
||||
# third-party proxies that would reject the beta header are protected.
|
||||
# Currently only Claude Opus 4.6. Both hyphen and dot variants are stored
|
||||
# to handle native Anthropic (claude-opus-4-6) and OpenRouter (claude-opus-4.6).
|
||||
_ANTHROPIC_FAST_MODE_MODELS: frozenset[str] = frozenset({
|
||||
"claude-opus-4-6",
|
||||
"claude-opus-4.6",
|
||||
})
|
||||
|
||||
|
||||
def _strip_vendor_prefix(model_id: str) -> str:
|
||||
@@ -1727,14 +1572,20 @@ def _strip_vendor_prefix(model_id: str) -> str:
|
||||
|
||||
def model_supports_fast_mode(model_id: Optional[str]) -> bool:
|
||||
"""Return whether Hermes should expose the /fast toggle for this model."""
|
||||
return _is_anthropic_fast_model(model_id) or _is_openai_fast_model(model_id)
|
||||
raw = _strip_vendor_prefix(str(model_id or ""))
|
||||
if raw in _PRIORITY_PROCESSING_MODELS:
|
||||
return True
|
||||
# Anthropic fast mode — strip date suffixes (e.g. claude-opus-4-6-20260401)
|
||||
# and OpenRouter variant tags (:fast, :beta) for matching.
|
||||
base = raw.split(":")[0]
|
||||
return base in _ANTHROPIC_FAST_MODE_MODELS
|
||||
|
||||
|
||||
def _is_anthropic_fast_model(model_id: Optional[str]) -> bool:
|
||||
"""Return True if the model is a Claude model eligible for Anthropic Fast Mode."""
|
||||
"""Return True if the model supports Anthropic's fast mode (speed='fast')."""
|
||||
raw = _strip_vendor_prefix(str(model_id or ""))
|
||||
base = raw.split(":")[0]
|
||||
return base.startswith("claude-")
|
||||
return base in _ANTHROPIC_FAST_MODE_MODELS
|
||||
|
||||
|
||||
def resolve_fast_mode_overrides(model_id: Optional[str]) -> dict[str, Any] | None:
|
||||
@@ -1756,61 +1607,14 @@ def resolve_fast_mode_overrides(model_id: Optional[str]) -> dict[str, Any] | Non
|
||||
|
||||
|
||||
def _resolve_copilot_catalog_api_key() -> str:
|
||||
"""Best-effort GitHub token for fetching the Copilot model catalog.
|
||||
|
||||
Resolution order:
|
||||
1. ``resolve_api_key_provider_credentials("copilot")`` — env vars
|
||||
(``COPILOT_GITHUB_TOKEN`` / ``GH_TOKEN`` / ``GITHUB_TOKEN``) plus
|
||||
the ``gh auth token`` CLI fallback.
|
||||
2. ``read_credential_pool("copilot")`` — a token (typically a
|
||||
``gho_*`` from device-code login, or a fine-grained PAT) stored in
|
||||
``auth.json`` under ``credential_pool.copilot[]``. The pool is
|
||||
populated by ``hermes auth add copilot`` and by ``_seed_from_env``
|
||||
when the env var is set in ``~/.hermes/.env``.
|
||||
|
||||
Without (2), users whose only Copilot credential is in the pool see
|
||||
the ``/model`` picker fall back to a stale hardcoded list because the
|
||||
live catalog fetch silently 401s. To avoid wedging on a malformed pool
|
||||
entry, each candidate is exchanged via ``exchange_copilot_token`` —
|
||||
only entries that actually exchange successfully are returned, so a
|
||||
later valid entry is reachable when an earlier one is unsupported.
|
||||
"""
|
||||
"""Best-effort GitHub token for fetching the Copilot model catalog."""
|
||||
try:
|
||||
from hermes_cli.auth import resolve_api_key_provider_credentials
|
||||
|
||||
creds = resolve_api_key_provider_credentials("copilot")
|
||||
api_key = str(creds.get("api_key") or "").strip()
|
||||
if api_key:
|
||||
return api_key
|
||||
return str(creds.get("api_key") or "").strip()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
try:
|
||||
from hermes_cli.auth import read_credential_pool
|
||||
from hermes_cli.copilot_auth import (
|
||||
exchange_copilot_token,
|
||||
validate_copilot_token,
|
||||
)
|
||||
|
||||
for entry in read_credential_pool("copilot"):
|
||||
if not isinstance(entry, dict):
|
||||
continue
|
||||
raw = str(entry.get("access_token") or "").strip()
|
||||
if not raw:
|
||||
continue
|
||||
valid, _ = validate_copilot_token(raw)
|
||||
if not valid:
|
||||
continue
|
||||
try:
|
||||
api_token, _expires_at = exchange_copilot_token(raw)
|
||||
except Exception:
|
||||
continue
|
||||
if api_token:
|
||||
return api_token
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return ""
|
||||
return ""
|
||||
|
||||
|
||||
# Providers where models.dev is treated as authoritative: curated static
|
||||
@@ -1967,19 +1771,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
|
||||
return live
|
||||
except Exception:
|
||||
pass
|
||||
if normalized == "gmi":
|
||||
try:
|
||||
from hermes_cli.auth import resolve_api_key_provider_credentials
|
||||
|
||||
creds = resolve_api_key_provider_credentials("gmi")
|
||||
api_key = str(creds.get("api_key") or "").strip()
|
||||
base_url = str(creds.get("base_url") or "").strip()
|
||||
if api_key and base_url:
|
||||
live = fetch_api_models(api_key, base_url)
|
||||
if live:
|
||||
return live
|
||||
except Exception:
|
||||
pass
|
||||
if normalized == "custom":
|
||||
base_url = _get_custom_base_url()
|
||||
if base_url:
|
||||
@@ -1992,18 +1783,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
|
||||
live = fetch_api_models(api_key, base_url)
|
||||
if live:
|
||||
return live
|
||||
# Bedrock uses live discovery keyed by the resolved AWS region so that
|
||||
# EU/AP users see eu.*/ap.* model IDs instead of the static us.* list.
|
||||
# Note: early return intentionally skips _MODELS_DEV_PREFERRED merge
|
||||
# below — bedrock is not expected to appear in that table.
|
||||
if normalized == "bedrock":
|
||||
try:
|
||||
from agent.bedrock_adapter import bedrock_model_ids_or_none
|
||||
ids = bedrock_model_ids_or_none()
|
||||
if ids is not None:
|
||||
return ids
|
||||
except Exception:
|
||||
pass
|
||||
curated_static = list(_PROVIDER_MODELS.get(normalized, []))
|
||||
if normalized in _MODELS_DEV_PREFERRED:
|
||||
return _merge_with_models_dev(normalized, curated_static)
|
||||
@@ -2199,228 +1978,6 @@ def _is_github_models_base_url(base_url: Optional[str]) -> bool:
|
||||
)
|
||||
|
||||
|
||||
def _lmstudio_server_root(base_url: Optional[str]) -> Optional[str]:
|
||||
"""Strip ``/v1`` suffix from an LM Studio base URL to get the native API root.
|
||||
|
||||
Returns ``None`` when the base URL is empty/invalid.
|
||||
"""
|
||||
root = (base_url or "").strip().rstrip("/")
|
||||
if root.endswith("/v1"):
|
||||
root = root[:-3].rstrip("/")
|
||||
return root or None
|
||||
|
||||
|
||||
def _lmstudio_request_headers(api_key: Optional[str] = None) -> dict:
|
||||
"""Build HTTP headers for LM Studio native API requests."""
|
||||
headers = {"User-Agent": _HERMES_USER_AGENT}
|
||||
token = str(api_key or "").strip()
|
||||
if token:
|
||||
headers["Authorization"] = f"Bearer {token}"
|
||||
return headers
|
||||
|
||||
|
||||
def _lmstudio_fetch_raw_models(
|
||||
api_key: Optional[str] = None,
|
||||
base_url: Optional[str] = None,
|
||||
timeout: float = 5.0,
|
||||
) -> Optional[list[dict]]:
|
||||
"""Fetch the raw model list from LM Studio's ``/api/v1/models``.
|
||||
|
||||
Returns the ``models`` list of dicts on success, ``None`` on network
|
||||
errors or malformed responses. Raises ``AuthError`` on HTTP 401/403.
|
||||
"""
|
||||
server_root = _lmstudio_server_root(base_url)
|
||||
if not server_root:
|
||||
return None
|
||||
|
||||
headers = _lmstudio_request_headers(api_key)
|
||||
request = urllib.request.Request(server_root + "/api/v1/models", headers=headers)
|
||||
try:
|
||||
with urllib.request.urlopen(request, timeout=timeout) as resp:
|
||||
payload = json.loads(resp.read().decode())
|
||||
except urllib.error.HTTPError as exc:
|
||||
if exc.code in (401, 403):
|
||||
from hermes_cli.auth import AuthError
|
||||
raise AuthError(
|
||||
f"LM Studio rejected the request with HTTP {exc.code}.",
|
||||
provider="lmstudio",
|
||||
code="auth_rejected",
|
||||
) from exc
|
||||
import logging
|
||||
logging.getLogger(__name__).debug(
|
||||
"LM Studio probe at %s failed with HTTP %s", server_root, exc.code,
|
||||
)
|
||||
return None
|
||||
except Exception as exc:
|
||||
import logging
|
||||
logging.getLogger(__name__).debug(
|
||||
"LM Studio probe at %s failed: %s", server_root, exc,
|
||||
)
|
||||
return None
|
||||
|
||||
raw_models = payload.get("models") if isinstance(payload, dict) else None
|
||||
if not isinstance(raw_models, list):
|
||||
import logging
|
||||
logging.getLogger(__name__).debug(
|
||||
"LM Studio probe at %s returned malformed payload (no `models` list)",
|
||||
server_root,
|
||||
)
|
||||
return None
|
||||
return raw_models
|
||||
|
||||
|
||||
def probe_lmstudio_models(
|
||||
api_key: Optional[str] = None,
|
||||
base_url: Optional[str] = None,
|
||||
timeout: float = 5.0,
|
||||
) -> Optional[list[str]]:
|
||||
"""Probe LM Studio's model listing.
|
||||
|
||||
Returns chat-capable model keys on success, including the valid empty-list
|
||||
case when the server is reachable but has no non-embedding models.
|
||||
Returns ``None`` on network errors, malformed responses, or empty/invalid
|
||||
base URLs.
|
||||
|
||||
Raises ``AuthError`` on HTTP 401/403 so callers can surface token issues
|
||||
separately from reachability problems.
|
||||
"""
|
||||
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
|
||||
if raw_models is None:
|
||||
return None
|
||||
|
||||
keys: list[str] = []
|
||||
for raw in raw_models:
|
||||
if not isinstance(raw, dict):
|
||||
continue
|
||||
if str(raw.get("type") or "").strip().lower() == "embedding":
|
||||
continue
|
||||
key = str(raw.get("key") or raw.get("id") or "").strip()
|
||||
if key and key not in keys:
|
||||
keys.append(key)
|
||||
return keys
|
||||
|
||||
|
||||
def fetch_lmstudio_models(
|
||||
api_key: Optional[str] = None,
|
||||
base_url: Optional[str] = None,
|
||||
timeout: float = 5.0,
|
||||
) -> list[str]:
|
||||
"""Fetch LM Studio chat-capable model keys from native ``/api/v1/models``.
|
||||
|
||||
Returns a list of model keys (e.g. ``publisher/model-name``) with embedding
|
||||
models filtered out. Returns an empty list on network errors, malformed
|
||||
responses, or empty/invalid base URLs.
|
||||
|
||||
Raises ``AuthError`` on HTTP 401/403 so callers can distinguish a missing
|
||||
or wrong ``LM_API_KEY`` from an unreachable server — the most common
|
||||
LM Studio support case once auth-enabled mode is turned on.
|
||||
"""
|
||||
models = probe_lmstudio_models(api_key=api_key, base_url=base_url, timeout=timeout)
|
||||
return models or []
|
||||
|
||||
|
||||
def ensure_lmstudio_model_loaded(
|
||||
model: str,
|
||||
base_url: Optional[str],
|
||||
api_key: Optional[str],
|
||||
target_context_length: int,
|
||||
timeout: float = 120.0,
|
||||
) -> Optional[int]:
|
||||
"""Ensure LM Studio has ``model`` loaded with at least ``target_context_length``.
|
||||
|
||||
No-op when an instance is already loaded with sufficient context. Otherwise
|
||||
POSTs ``/api/v1/models/load`` to (re)load with the target context, capped
|
||||
at the model's ``max_context_length``. Returns the resolved loaded context
|
||||
length, or ``None`` when the probe / load failed.
|
||||
"""
|
||||
server_root = _lmstudio_server_root(base_url)
|
||||
if not server_root:
|
||||
return None
|
||||
|
||||
headers = _lmstudio_request_headers(api_key)
|
||||
|
||||
try:
|
||||
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=10)
|
||||
except Exception:
|
||||
raw_models = None
|
||||
if raw_models is None:
|
||||
return None
|
||||
|
||||
target_entry = None
|
||||
for raw in raw_models:
|
||||
if not isinstance(raw, dict):
|
||||
continue
|
||||
if raw.get("key") == model or raw.get("id") == model:
|
||||
target_entry = raw
|
||||
break
|
||||
if target_entry is None:
|
||||
return None
|
||||
|
||||
max_ctx = target_entry.get("max_context_length")
|
||||
if isinstance(max_ctx, int) and max_ctx > 0:
|
||||
target_context_length = min(target_context_length, max_ctx)
|
||||
|
||||
for inst in target_entry.get("loaded_instances") or []:
|
||||
cfg = inst.get("config") if isinstance(inst, dict) else None
|
||||
loaded_ctx = cfg.get("context_length") if isinstance(cfg, dict) else None
|
||||
if isinstance(loaded_ctx, int) and loaded_ctx >= target_context_length:
|
||||
return loaded_ctx
|
||||
|
||||
body = json.dumps({
|
||||
"model": model,
|
||||
"context_length": target_context_length,
|
||||
}).encode()
|
||||
load_headers = dict(headers)
|
||||
load_headers["Content-Type"] = "application/json"
|
||||
try:
|
||||
with urllib.request.urlopen(
|
||||
urllib.request.Request(
|
||||
server_root + "/api/v1/models/load",
|
||||
data=body,
|
||||
headers=load_headers,
|
||||
method="POST",
|
||||
),
|
||||
timeout=timeout,
|
||||
) as resp:
|
||||
resp.read()
|
||||
except Exception:
|
||||
return None
|
||||
return target_context_length
|
||||
|
||||
|
||||
def lmstudio_model_reasoning_options(
|
||||
model: str,
|
||||
base_url: Optional[str],
|
||||
api_key: Optional[str] = None,
|
||||
timeout: float = 5.0,
|
||||
) -> list[str]:
|
||||
"""Return the reasoning ``allowed_options`` LM Studio publishes for ``model``.
|
||||
|
||||
Pulls ``capabilities.reasoning.allowed_options`` from ``/api/v1/models``.
|
||||
Returns ``[]`` when the model is unknown, the endpoint is unreachable,
|
||||
or the model does not declare a reasoning capability.
|
||||
"""
|
||||
try:
|
||||
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
|
||||
except Exception:
|
||||
raw_models = None
|
||||
if not raw_models:
|
||||
return []
|
||||
|
||||
for raw in raw_models:
|
||||
if not isinstance(raw, dict):
|
||||
continue
|
||||
if raw.get("key") != model and raw.get("id") != model:
|
||||
continue
|
||||
caps = raw.get("capabilities")
|
||||
reasoning = caps.get("reasoning") if isinstance(caps, dict) else None
|
||||
opts = reasoning.get("allowed_options") if isinstance(reasoning, dict) else None
|
||||
if isinstance(opts, list):
|
||||
return [str(o).strip().lower() for o in opts if isinstance(o, str)]
|
||||
return []
|
||||
return []
|
||||
|
||||
|
||||
def _fetch_github_models(api_key: Optional[str] = None, timeout: float = 5.0) -> Optional[list[str]]:
|
||||
catalog = fetch_github_model_catalog(api_key=api_key, timeout=timeout)
|
||||
if not catalog:
|
||||
@@ -2591,52 +2148,6 @@ def copilot_model_api_mode(
|
||||
return "chat_completions"
|
||||
|
||||
|
||||
# Azure Foundry model families that require the Responses API. Azure
|
||||
# rejects /chat/completions against these deployments with
|
||||
# ``400 "The requested operation is unsupported."`` — the same payload Bob
|
||||
# Dobolina hit in April 2026 on ``gpt-5.3-codex`` while ``gpt-4o-pure`` on
|
||||
# the same endpoint worked fine. Keep the patterns broad enough to cover
|
||||
# vendor-renamed deployments (e.g. ``gpt-5.3-codex``, ``gpt-5-codex``,
|
||||
# ``gpt-5.4``, ``o1-preview``) but tight enough to leave GPT-4 / 3.5 / Llama /
|
||||
# Mistral / Grok deployments on chat completions.
|
||||
_AZURE_FOUNDRY_RESPONSES_PREFIXES = (
|
||||
"codex", # codex-*, codex-mini
|
||||
"gpt-5", # gpt-5, gpt-5.x, gpt-5-codex, gpt-5.x-codex
|
||||
"o1", # o1, o1-preview, o1-mini
|
||||
"o3", # o3, o3-mini
|
||||
"o4", # o4, o4-mini
|
||||
)
|
||||
|
||||
|
||||
def azure_foundry_model_api_mode(model_name: Optional[str]) -> Optional[str]:
|
||||
"""Infer Azure Foundry api_mode from a deployment/model name.
|
||||
|
||||
Returns ``"codex_responses"`` when the model name matches a family that
|
||||
only accepts the Responses API on Azure Foundry (GPT-5.x, codex, o1/o3/o4
|
||||
reasoning models). Returns ``None`` otherwise — the caller should fall
|
||||
back to the configured/default api_mode (typically ``chat_completions``)
|
||||
so GPT-4o, GPT-4 Turbo, Llama, Mistral, etc. keep working.
|
||||
|
||||
Intentionally does NOT return ``anthropic_messages``; Anthropic-style
|
||||
Azure endpoints are disambiguated by URL (``/anthropic`` suffix) in
|
||||
``runtime_provider._detect_api_mode_for_url`` and by the user setting
|
||||
``model.api_mode: anthropic_messages`` explicitly.
|
||||
"""
|
||||
raw = str(model_name or "").strip().lower()
|
||||
if not raw:
|
||||
return None
|
||||
# Strip any vendor/ prefix a user may have copied from OpenRouter / Copilot.
|
||||
if "/" in raw:
|
||||
raw = raw.rsplit("/", 1)[-1]
|
||||
# gpt-5-mini speaks chat completions on Copilot but Azure Foundry deploys
|
||||
# the full gpt-5 family uniformly on Responses API — don't carve an
|
||||
# exception here.
|
||||
for prefix in _AZURE_FOUNDRY_RESPONSES_PREFIXES:
|
||||
if raw.startswith(prefix):
|
||||
return "codex_responses"
|
||||
return None
|
||||
|
||||
|
||||
def normalize_opencode_model_id(provider_id: Optional[str], model_id: Optional[str]) -> str:
|
||||
"""Normalize OpenCode config IDs to the bare model slug used in API requests."""
|
||||
provider = normalize_provider(provider_id)
|
||||
@@ -3016,40 +2527,6 @@ def validate_requested_model(
|
||||
"message": "Model names cannot contain spaces.",
|
||||
}
|
||||
|
||||
if normalized == "lmstudio":
|
||||
from hermes_cli.auth import AuthError
|
||||
# Use probe_lmstudio_models so we can distinguish None (unreachable
|
||||
# / malformed response) from [] (reachable, but no chat-capable models
|
||||
# are loaded). fetch_lmstudio_models collapses both to [].
|
||||
try:
|
||||
models = probe_lmstudio_models(api_key=api_key, base_url=base_url)
|
||||
except AuthError as exc:
|
||||
return {
|
||||
"accepted": False, "persist": False, "recognized": False,
|
||||
"message": (
|
||||
f"{exc} Set `LM_API_KEY` (or update it) to match the server's bearer token."
|
||||
),
|
||||
}
|
||||
if models is None:
|
||||
return {
|
||||
"accepted": False, "persist": False, "recognized": False,
|
||||
"message": f"Could not reach LM Studio's `/api/v1/models` to validate `{requested}`.",
|
||||
}
|
||||
if not models:
|
||||
return {
|
||||
"accepted": False, "persist": False, "recognized": False,
|
||||
"message": (
|
||||
f"LM Studio is reachable but no chat-capable models are loaded. "
|
||||
f"Load `{requested}` in LM Studio (Developer tab → Load Model) and try again."
|
||||
),
|
||||
}
|
||||
if requested_for_lookup in set(models):
|
||||
return {"accepted": True, "persist": True, "recognized": True, "message": None}
|
||||
return {
|
||||
"accepted": False, "persist": False, "recognized": False,
|
||||
"message": f"Model `{requested}` was not found in LM Studio's model listing.",
|
||||
}
|
||||
|
||||
if normalized == "custom":
|
||||
# Try probing with correct auth for the api_mode.
|
||||
if api_mode == "anthropic_messages":
|
||||
@@ -3094,8 +2571,8 @@ def validate_requested_model(
|
||||
)
|
||||
|
||||
return {
|
||||
"accepted": True,
|
||||
"persist": True,
|
||||
"accepted": False,
|
||||
"persist": False,
|
||||
"recognized": False,
|
||||
"message": message,
|
||||
}
|
||||
|
||||
@@ -9,7 +9,6 @@ from typing import Dict, Iterable, Optional, Set
|
||||
from hermes_cli.auth import get_nous_auth_status
|
||||
from hermes_cli.config import get_env_value, load_config
|
||||
from tools.managed_tool_gateway import is_managed_tool_gateway_ready
|
||||
from utils import is_truthy_value
|
||||
from tools.tool_backend_helpers import (
|
||||
fal_key_is_configured,
|
||||
has_direct_modal_credentials,
|
||||
@@ -26,13 +25,6 @@ _DEFAULT_PLATFORM_TOOLSETS = {
|
||||
}
|
||||
|
||||
|
||||
def _uses_gateway(section: object) -> bool:
|
||||
"""Return True when a config section explicitly opts into the gateway."""
|
||||
if not isinstance(section, dict):
|
||||
return False
|
||||
return is_truthy_value(section.get("use_gateway"), default=False)
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class NousFeatureState:
|
||||
key: str
|
||||
@@ -270,11 +262,11 @@ def get_nous_subscription_features(
|
||||
# use_gateway flags — when True, the user explicitly opted into the
|
||||
# Tool Gateway via `hermes model`, so direct credentials should NOT
|
||||
# prevent gateway routing.
|
||||
web_use_gateway = _uses_gateway(web_cfg)
|
||||
tts_use_gateway = _uses_gateway(tts_cfg)
|
||||
browser_use_gateway = _uses_gateway(browser_cfg)
|
||||
web_use_gateway = bool(web_cfg.get("use_gateway"))
|
||||
tts_use_gateway = bool(tts_cfg.get("use_gateway"))
|
||||
browser_use_gateway = bool(browser_cfg.get("use_gateway"))
|
||||
image_gen_cfg = config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}
|
||||
image_use_gateway = _uses_gateway(image_gen_cfg)
|
||||
image_use_gateway = bool(image_gen_cfg.get("use_gateway"))
|
||||
|
||||
direct_exa = bool(get_env_value("EXA_API_KEY"))
|
||||
direct_firecrawl = bool(get_env_value("FIRECRAWL_API_KEY") or get_env_value("FIRECRAWL_API_URL"))
|
||||
@@ -609,10 +601,10 @@ def get_gateway_eligible_tools(
|
||||
# no direct keys exist — we only skip the prompt for tools where
|
||||
# use_gateway was explicitly set.
|
||||
opted_in = {
|
||||
"web": _uses_gateway(config.get("web")),
|
||||
"image_gen": _uses_gateway(config.get("image_gen")),
|
||||
"tts": _uses_gateway(config.get("tts")),
|
||||
"browser": _uses_gateway(config.get("browser")),
|
||||
"web": bool((config.get("web") if isinstance(config.get("web"), dict) else {}).get("use_gateway")),
|
||||
"image_gen": bool((config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}).get("use_gateway")),
|
||||
"tts": bool((config.get("tts") if isinstance(config.get("tts"), dict) else {}).get("use_gateway")),
|
||||
"browser": bool((config.get("browser") if isinstance(config.get("browser"), dict) else {}).get("use_gateway")),
|
||||
}
|
||||
|
||||
unconfigured: list[str] = []
|
||||
|
||||
@@ -1,219 +0,0 @@
|
||||
"""Oneshot (-z) mode: send a prompt, get the final content block, exit.
|
||||
|
||||
Bypasses cli.py entirely. No banner, no spinner, no session_id line,
|
||||
no stderr chatter. Just the agent's final text to stdout.
|
||||
|
||||
Toolsets = whatever the user has configured for "cli" in `hermes tools`.
|
||||
Rules / memory / AGENTS.md / preloaded skills = same as a normal chat turn.
|
||||
Approvals = auto-bypassed (HERMES_YOLO_MODE=1 is set for the call).
|
||||
Working directory = the user's CWD (AGENTS.md etc. resolve from there as usual).
|
||||
|
||||
Model / provider selection mirrors `hermes chat`:
|
||||
- Both optional. If omitted, use the user's configured default.
|
||||
- If both given, pair them exactly as given.
|
||||
- If only --model given, auto-detect the provider that serves it.
|
||||
- If only --provider given, error out (ambiguous — caller must pick a model).
|
||||
|
||||
Env var fallbacks (used when the corresponding arg is not passed):
|
||||
- HERMES_INFERENCE_MODEL
|
||||
- HERMES_INFERENCE_PROVIDER (already read by resolve_runtime_provider)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import os
|
||||
import sys
|
||||
from contextlib import redirect_stderr, redirect_stdout
|
||||
from typing import Optional
|
||||
|
||||
|
||||
def run_oneshot(
|
||||
prompt: str,
|
||||
model: Optional[str] = None,
|
||||
provider: Optional[str] = None,
|
||||
) -> int:
|
||||
"""Execute a single prompt and print only the final content block.
|
||||
|
||||
Args:
|
||||
prompt: The user message to send.
|
||||
model: Optional model override. Falls back to HERMES_INFERENCE_MODEL
|
||||
env var, then config.yaml's model.default / model.model.
|
||||
provider: Optional provider override. Falls back to
|
||||
HERMES_INFERENCE_PROVIDER env var, then config.yaml's model.provider,
|
||||
then "auto".
|
||||
|
||||
Returns the exit code. Caller should sys.exit() with the return.
|
||||
"""
|
||||
# Silence every stdlib logger for the duration. AIAgent, tools, and
|
||||
# provider adapters all log to stderr through the root logger; file
|
||||
# handlers added by setup_logging() keep working (they're attached to
|
||||
# the root logger's handler list, not affected by level), but no
|
||||
# bytes reach the terminal.
|
||||
logging.disable(logging.CRITICAL)
|
||||
|
||||
# --provider without --model is ambiguous: carrying the user's configured
|
||||
# model across to a different provider is usually wrong (that provider may
|
||||
# not host it), and silently picking the provider's catalog default hides
|
||||
# the mismatch. Require the caller to be explicit. Validate BEFORE the
|
||||
# stderr redirect so the message actually reaches the terminal.
|
||||
env_model_early = os.getenv("HERMES_INFERENCE_MODEL", "").strip()
|
||||
if provider and not ((model or "").strip() or env_model_early):
|
||||
sys.stderr.write(
|
||||
"hermes -z: --provider requires --model (or HERMES_INFERENCE_MODEL). "
|
||||
"Pass both explicitly, or neither to use your configured defaults.\n"
|
||||
)
|
||||
return 2
|
||||
|
||||
# Auto-approve any shell / tool approvals. Non-interactive by
|
||||
# definition — a prompt would hang forever.
|
||||
os.environ["HERMES_YOLO_MODE"] = "1"
|
||||
os.environ["HERMES_ACCEPT_HOOKS"] = "1"
|
||||
|
||||
# Redirect stderr AND stdout to devnull for the entire call tree.
|
||||
# We'll print the final response to the real stdout at the end.
|
||||
real_stdout = sys.stdout
|
||||
devnull = open(os.devnull, "w")
|
||||
|
||||
try:
|
||||
with redirect_stdout(devnull), redirect_stderr(devnull):
|
||||
response = _run_agent(prompt, model=model, provider=provider)
|
||||
finally:
|
||||
try:
|
||||
devnull.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
if response:
|
||||
real_stdout.write(response)
|
||||
if not response.endswith("\n"):
|
||||
real_stdout.write("\n")
|
||||
real_stdout.flush()
|
||||
return 0
|
||||
|
||||
|
||||
def _run_agent(
|
||||
prompt: str,
|
||||
model: Optional[str] = None,
|
||||
provider: Optional[str] = None,
|
||||
) -> str:
|
||||
"""Build an AIAgent exactly like a normal CLI chat turn would, then
|
||||
run a single conversation. Returns the final response string."""
|
||||
# Imports are local so they don't run when hermes is invoked for
|
||||
# other commands (keeps top-level CLI startup cheap).
|
||||
from hermes_cli.config import load_config
|
||||
from hermes_cli.models import detect_provider_for_model
|
||||
from hermes_cli.runtime_provider import resolve_runtime_provider
|
||||
from hermes_cli.tools_config import _get_platform_tools
|
||||
from run_agent import AIAgent
|
||||
|
||||
cfg = load_config()
|
||||
|
||||
# Resolve effective model: explicit arg → env var → config.
|
||||
model_cfg = cfg.get("model") or {}
|
||||
if isinstance(model_cfg, str):
|
||||
cfg_model = model_cfg
|
||||
else:
|
||||
cfg_model = model_cfg.get("default") or model_cfg.get("model") or ""
|
||||
|
||||
env_model = os.getenv("HERMES_INFERENCE_MODEL", "").strip()
|
||||
effective_model = (model or "").strip() or env_model or cfg_model
|
||||
|
||||
# Resolve effective provider: explicit arg → (auto-detect from model if
|
||||
# model was explicit) → env / config (handled inside resolve_runtime_provider).
|
||||
#
|
||||
# When --model is given without --provider, auto-detect the provider that
|
||||
# serves that model — same semantic as `/model <name>` in an interactive
|
||||
# session. Without this, resolve_runtime_provider() would fall back to
|
||||
# the user's configured default provider, which may not host the model
|
||||
# the caller just asked for.
|
||||
effective_provider = (provider or "").strip() or None
|
||||
explicit_base_url_from_alias: Optional[str] = None
|
||||
if effective_provider is None and (model or env_model):
|
||||
# Only auto-detect when the model was explicitly requested via arg or
|
||||
# env var (not when it came from config — that's the "use my defaults"
|
||||
# path and the configured provider is already correct).
|
||||
explicit_model = (model or "").strip() or env_model
|
||||
if explicit_model:
|
||||
# First check DIRECT_ALIASES populated from config.yaml `model_aliases:`.
|
||||
# These map a user-defined alias to (model, provider, base_url) for
|
||||
# endpoints not in any catalog (local servers, custom proxies, etc.).
|
||||
try:
|
||||
from hermes_cli import model_switch as _ms
|
||||
_ms._ensure_direct_aliases()
|
||||
direct = _ms.DIRECT_ALIASES.get(explicit_model.strip().lower())
|
||||
except Exception:
|
||||
direct = None
|
||||
if direct is not None:
|
||||
effective_model = direct.model
|
||||
effective_provider = direct.provider
|
||||
if direct.base_url:
|
||||
explicit_base_url_from_alias = direct.base_url.rstrip("/")
|
||||
else:
|
||||
cfg_provider = ""
|
||||
if isinstance(model_cfg, dict):
|
||||
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
|
||||
current_provider = (
|
||||
cfg_provider
|
||||
or os.getenv("HERMES_INFERENCE_PROVIDER", "").strip().lower()
|
||||
or "auto"
|
||||
)
|
||||
detected = detect_provider_for_model(explicit_model, current_provider)
|
||||
if detected:
|
||||
effective_provider, effective_model = detected
|
||||
|
||||
runtime = resolve_runtime_provider(
|
||||
requested=effective_provider,
|
||||
target_model=effective_model or None,
|
||||
explicit_base_url=explicit_base_url_from_alias,
|
||||
)
|
||||
|
||||
# Pull in whatever toolsets the user has enabled for "cli".
|
||||
# sorted() gives stable ordering; set→list for AIAgent's signature.
|
||||
toolsets_list = sorted(_get_platform_tools(cfg, "cli"))
|
||||
|
||||
agent = AIAgent(
|
||||
api_key=runtime.get("api_key"),
|
||||
base_url=runtime.get("base_url"),
|
||||
provider=runtime.get("provider"),
|
||||
api_mode=runtime.get("api_mode"),
|
||||
model=effective_model,
|
||||
enabled_toolsets=toolsets_list,
|
||||
quiet_mode=True,
|
||||
platform="cli",
|
||||
credential_pool=runtime.get("credential_pool"),
|
||||
# Interactive callbacks are intentionally NOT wired beyond this
|
||||
# one. In oneshot mode there's no user sitting at a terminal:
|
||||
# - clarify → returns a synthetic "pick a default" instruction
|
||||
# so the agent continues instead of stalling on
|
||||
# the tool's built-in "not available" error
|
||||
# - sudo password prompt → terminal_tool gates on
|
||||
# HERMES_INTERACTIVE which we never set
|
||||
# - shell-hook approval → auto-approved via HERMES_ACCEPT_HOOKS=1
|
||||
# (set above); also falls back to deny on non-tty
|
||||
# - dangerous-command approval → bypassed via HERMES_YOLO_MODE=1
|
||||
# - skill secret capture → returns gracefully when no callback set
|
||||
clarify_callback=_oneshot_clarify_callback,
|
||||
)
|
||||
|
||||
# Belt-and-braces: make sure AIAgent doesn't invoke any streaming
|
||||
# display callbacks that would bypass our stdout capture.
|
||||
agent.suppress_status_output = True
|
||||
agent.stream_delta_callback = None
|
||||
agent.tool_gen_callback = None
|
||||
|
||||
return agent.chat(prompt) or ""
|
||||
|
||||
|
||||
def _oneshot_clarify_callback(question: str, choices=None) -> str:
|
||||
"""Clarify is disabled in oneshot mode — tell the agent to pick a
|
||||
default and proceed instead of stalling or erroring."""
|
||||
if choices:
|
||||
return (
|
||||
f"[oneshot mode: no user available. Pick the best option from "
|
||||
f"{choices} using your own judgment and continue.]"
|
||||
)
|
||||
return (
|
||||
"[oneshot mode: no user available. Make the most reasonable "
|
||||
"assumption you can and continue.]"
|
||||
)
|
||||
@@ -36,7 +36,6 @@ PLATFORMS: OrderedDict[str, PlatformInfo] = OrderedDict([
|
||||
("wecom_callback", PlatformInfo(label="💬 WeCom Callback", default_toolset="hermes-wecom-callback")),
|
||||
("weixin", PlatformInfo(label="💬 Weixin", default_toolset="hermes-weixin")),
|
||||
("qqbot", PlatformInfo(label="💬 QQBot", default_toolset="hermes-qqbot")),
|
||||
("yuanbao", PlatformInfo(label="🤖 Yuanbao", default_toolset="hermes-yuanbao")),
|
||||
("webhook", PlatformInfo(label="🔗 Webhook", default_toolset="hermes-webhook")),
|
||||
("api_server", PlatformInfo(label="🌐 API Server", default_toolset="hermes-api-server")),
|
||||
("cron", PlatformInfo(label="⏰ Cron", default_toolset="hermes-cron")),
|
||||
|
||||
@@ -79,20 +79,6 @@ VALID_HOOKS: Set[str] = {
|
||||
# {"action": "allow"} / None -> normal dispatch
|
||||
# Kwargs: event: MessageEvent, gateway: GatewayRunner, session_store.
|
||||
"pre_gateway_dispatch",
|
||||
# Approval lifecycle hooks. Fired by tools/approval.py when a dangerous
|
||||
# command needs user approval -- fires BOTH for CLI-interactive prompts
|
||||
# and for gateway/ACP approvals (Telegram, Discord, Slack, TUI, etc.).
|
||||
# Observers only: return values are ignored. Plugins cannot veto or
|
||||
# pre-answer an approval from these hooks (use pre_tool_call to block
|
||||
# a tool before it reaches approval).
|
||||
#
|
||||
# Kwargs for pre_approval_request:
|
||||
# command: str, description: str, pattern_key: str, pattern_keys: list[str],
|
||||
# session_key: str, surface: "cli" | "gateway"
|
||||
# Kwargs for post_approval_response: same as above plus
|
||||
# choice: "once" | "session" | "always" | "deny" | "timeout"
|
||||
"pre_approval_request",
|
||||
"post_approval_response",
|
||||
}
|
||||
|
||||
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
|
||||
|
||||
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Reference in New Issue
Block a user